Trojaning Attack on Neural Networks

Cited by (1,001)

Items 301–400 of 1,001

1. Secure and Verifiable Inference in Deep Neural Networks
   Guowen Xu, Hongwei Li, Hao Ren, Jianfei Sun, Shengmin Xu, Jianting Ning, Haomiao Yang, Kan Yang, Robert Huijie Deng · 2020 · Annual Computer Security Applications Conference
2. Stealthy Backdoors as Compression Artifacts
   Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans · 2022 · IEEE Transactions on Information Forensics and Security
3. DriNet: Dynamic Backdoor Attack against Automatic Speech Recognization Models
   Jianbin Ye, Xiaoyuan Liu, Zheng You, Guowei Li, Bo Liu · 2022 · Applied Sciences
4. Universal backdoor attack on deep neural networks for malware detection
   Yunchun Zhang, Fan Feng, Zikun Liao, Zixuan Li, Shaowen Yao · 2023 · Applied Soft Computing
5. Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation
   Xueluan Gong, Yanjiao Chen, Yang Wang, Qian Wang, Yuzhe Gu, Huayang Huang, Chao Qun Shen · 2023 · IEEE Symposium on Security and Privacy (S&P)
6. Backdoor Cleansing with Unlabeled Data
   Lu Pang, Tao Sun, Haibin Ling, Chao Chen · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. Trojan Attack and Defense for Deep Learning-Based Navigation Systems of Unmanned Aerial Vehicles
   Mohammed Mynuddin, Sultan Uddin Khan, Reza Ahmari, Luis Landivar, Mahmoud Nabil, Abdollah Homaifar · 2024 · IEEE Access
8. On the Trade-off between Adversarial and Backdoor Robustness
   Cheng‐Hsin Weng, Yan-Ting Lee, Shan-Hung Wu · 2020 · neural information processing systems
9. Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing
   Zhen James Xiang, David Jonathan Miller, George Kesidis · 2021 · Computers & Security
10. Similarity-based integrity protection for deep learning systems
    Ruitao Hou, Shan Ai, Qi Chen, Hongyang Yan, Teng Hsing Huang, Kongyang Chen · 2022 · Information Sciences
11. Data-Efficient Backdoor Attacks
    Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li · 2022 · International Joint Conference on Artificial Intelligence
12. Kaleidoscope: Physical Backdoor Attacks Against Deep Neural Networks With RGB Filters
    Xueluan Gong, Ziyao Wang, Yanjiao Chen, Meng Xue, Qian Wang, Chao Qun Shen · 2023 · IEEE Transactions on Dependable and Secure Computing
13. QTROJAN: A Circuit Backdoor Against Quantum Neural Networks
    Cheng Chu, Lei Jiang, Martin Swany A, Fan Chen · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
14. Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
    Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study
    Jimin Sun, Wenqi Shi, Felipe Giuste, Yog S. Vaghani, Lingzi Tang, May Dongmei Wang · 2023 · Scientific Reports
16. Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
    Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen · 2021 · arXiv (Cornell University)
17. Dispersed Pixel Perturbation-Based Imperceptible Backdoor Trigger for Image Classifier Models
    Wang, Yulong, Zhao, Minghui, Li, Shenghong, Yuan, Xin, Ni, Wei · 2022 · IEEE Transactions on Information Forensics and Security
18. Trojan Attack on Deep Generative Models in Autonomous Driving
    Shaohua Ding, Yulong Tian, Fengyuan Xu, Qun Li, Sheng Zhong · 2019 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
19. Neuroattack:undermining spiking neural networks security through externally triggered bit-flips
    Venceslai, V. (Valerio), Marchisio, A. (Alberto), Ihsen Alouani, Martina, M. (Maurizio), Shafique, M. (Muhammad) · 2020 · LillOA (Université de Lille (University Of Lille))
20. Non-interactive, Secure Verifiable Aggregation for Decentralized, Privacy-Preserving Learning
    Carlo Brunetta, Georgia Tsaloli, Bei Liang, Gustavo Banegas, Aikaterini Mitrokotsa · 2021 · Lecture notes in computer science
21. LinkBreaker: Breaking the Backdoor-Trigger Link in DNNs via Neurons Consistency Check
    Zhenzhu Chen, Shang Wang, Anmin Fu, Yansong Gao, Shui Yu, Robert Huijie Deng · 2022 · IEEE Transactions on Information Forensics and Security
22. Unlearning Backdoor Attacks in Federated Learning
    Chen Wu, Sencun Zhu, Prasenjit Mitra, Wei Wang · 2024 · IEEE Conference on Communications and Network Security
23. Workplace security and privacy implications in the GenAI age: A survey
    Abebe Abeshu Diro, Shahriar Kaisar, Akanksha Saini, Samar Fatima, Hiep Pham, Fikadu Erba · 2025 · Journal of Information Security and Applications
24. Two Sides of the Same Coin: Boons and Banes of Machine Learning in Hardware Security
    Wenye Liu, Chip-Hong Chang, Xueyang Wang, Chen Liu, Jason M. Fung, Mohammad Ebrahimabadi, Naghmeh Karimi, Xingyu Meng, Kanad Basu · 2021 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
25. Towards a robust and trustworthy machine learning system development: An engineering perspective
    Pulei Xiong, Scott Buffett, Shahrear Iqbal, Philippe Lamontagne, Mohammad Mamun, Heather Molyneaux · 2022 · Journal of Information Security and Applications
26. Stealthy and Flexible Trojan in Deep Learning Framework
    Yajie Wang, Kongyang Chen, Yu‐an Tan, Shuxin Huang, Wencong Ma, Yuanzhang Li · 2022 · IEEE Transactions on Dependable and Secure Computing
27. A defense method against backdoor attacks on neural networks
    Sara Kaviani, Samaneh Shamshiri, Insoo Sohn · 2022 · Expert Systems with Applications
28. Disguising Attacks with Explanation-Aware Backdoors
    Maximilian Noppel, Lukas Peter, Christian Wressnegger · 2023 · IEEE Symposium on Security and Privacy (S&P)
29. Practical Poisoning Attacks on Neural Networks
    Junfeng Guo, Cong Liu · 2020 · Lecture notes in computer science
30. TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
    Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li · 2019 · arXiv (Cornell University)
31. ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks
    Miguel Villarreal-Vasquez, Bharat Bhargava · 2020 · arXiv (Cornell University)
32. Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
    Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek · 2021 · arXiv (Cornell University)
33. Deep Entity Classification: Abusive Account Detection for Online Social Networks
    Teng Gang Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Mandell Freeman, Paul Pearce · 2021 · USENIX Security Symposium
34. Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
    Mingfu Xue, Can He, Shichang Sun, Jian Wang, Weiqiang Liu · 2021 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
35. Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder
    Hyun Kwon · 2021 · IEEE Access
36. Get a Model! Model Hijacking Attack Against Machine Learning Models
    Ahmed Salem, Michael Backes A, Yang Zhang · 2022 · Network and Distributed System Security Symposium
37. Against Backdoor Attacks In Federated Learning With Differential Privacy
    Miao Lu, Wei Yang, Rong Hu, Li Lü, Liusheng Huang · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
38. TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
    Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiapu Luo, Ting Wang · 2022 · IEEE European Symposium on Security and Privacy
39. Intellectual property protection of DNN models
    Sen Peng, Yufei Chen, Jie Xu, Zizhuo Chen, Cong Wang, Xiaohua Jia · 2022 · World Wide Web
40. $\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems
    Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu · 2023 · IEEE Transactions on Computers
41. Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples
    Zhe Zhao, Guangke Chen, Tong Liu, Taishan Li, Fu Song, Jingyi Wang, Jun Sun · 2023 · ACM Transactions on Software Engineering and Methodology
42. SoK: Explainable Machine Learning in Adversarial Environments
    Maximilian Noppel, Christian Wressnegger · 2024 · IEEE Symposium on Security and Privacy (S&P)
43. Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
    Ziqi Yang, Tong Tang, Hung Dang, Zhengyang Wu, Ee-Chien Chang · 2025 · IEEE Transactions on Dependable and Secure Computing
44. Sequence Triggered Hardware Trojan in Neural Network Accelerator
    Zizhen Liu, Jing Ye, Xing Hu, Huawei Li, Xiaowei Li, Yu Hen Hu · 2020 · IEEE VLSI Test Symposium (VTS)
45. A Comprehensive Survey on Backdoor Attacks and Their Defenses in Face Recognition Systems
    Quentin Le Roux, Eric Bourbao, Yannick Teglia, Kassem Kallas · 2024 · IEEE Access
46. Textual Backdoor Attack for the Text Classification System
    Hyun Kwon, Sanghyun Lee · 2021 · Security and Communication Networks
47. AI-Lancet: Locating Error-inducing Neurons to Optimize Neural Networks
    Yue Zhao, Hong Guo Zhu, Kai Chen, Shengzhi Zhang · 2021 · ACM SIGSAC Conference on Computer and Communications Security (CCS)
48. Lightweight Privacy-Preserving GAN Framework for Model Training and Image Synthesis
    Yang Yang, Ke Mu, Robert Huijie Deng · 2022 · IEEE Transactions on Information Forensics and Security
49. Watermarking Graph Neural Networks based on Backdoor Attacks
    Jing Xu, Stefanos Koffas, Oğuzhan Ersoy, Stjepan Picek · 2023 · IEEE European Symposium on Security and Privacy
50. Backdoor Attacks on Facial Recognition in the Physical World
    Emily Wenger, Josephine Passananti, Yuanshun Yao, Hai-Tao Zheng, Ben Y. Zhao · 2020 · arXiv (Cornell University)
51. COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
    Tran Huynh, Dang Nguyen, Tung Pham, Anh Tuan Tran · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
52. Interpretability-Guided Defense Against Backdoor Attacks to Deep Neural Networks
    Wei Jiang, Xiangyu Wen, Jinyu Zhan, Xupeng Wang, Ziwei Song · 2021 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
53. FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics
    Esha Sarkar, Hadjer Benkraouda, G Muthu Krishnan, Homer Gamil, Michail Maniatakos · 2021 · IEEE Transactions on Biometrics Behavior and Identity Science
54. Backdoor Attacks on Time Series: A Generative Approach
    Yujing Jiang, Xingjun Ma, Sarah Erfani, James Bailey · 2023 · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
55. Don't Knock! Rowhammer at the Backdoor of DNN Models
    M. Caner Tol, Saad Islam, Andrew Adiletta, Berk Sunar, Ziming Zhang · 2023 · International Conference on Dependable Systems & Networks/Proceedings
56. Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
    David Jonathan Miller, Zhen James Xiang, George Kesidis · 2019 · arXiv (Cornell University)
57. Privacy and security vulnerabilities in edge intelligence: An analysis and countermeasures
    Ahmed A. Shafee, Syed Rafay Hasan, Tasneem A. Awaad · 2025 · Computers & Electrical Engineering
58. Deep Learning Backdoors
    Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao · 2022 · Lecture notes in computer science
59. Concurrent weight encoding-based detection for bit-flip attack on neural network accelerators
    Qi Liu, Wujie Wen, Yanzhi Wang · 2020
60. DeepiSign
    Alsharif Abuadbba, Hyoungshick Kim, ‪Surya Nepal‬ · 2021 · ACM Symposium on Applied Computing
61. Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
    David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
62. Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection
    Mengnan Zhao, Bo Wang, Wei Wang, Yuqiu Kong, Tianhang Zheng, Kui Ren · 2022 · IEEE Transactions on Information Forensics and Security
63. Defending Backdoor Attacks on Vision Transformer via Patch Processing
    Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
64. Dynamics-aware loss for learning with label noise
    Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng‐Lin Liu · 2023 · Pattern Recognition
65. Backdooring Neural Code Search
    Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang, Bin Luo · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
66. NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
    Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
67. Promoting or Hindering: Stealthy Black-Box Attacks Against DRL-Based Traffic Signal Control
    Yan Ren, Heng Zhang, Xianghui Cao, Chaoqun Yang, Jian Zhang, Hongran Li · 2023 · IEEE Internet of Things Journal
68. Invisible Poisoning: Highly Stealthy Targeted Poisoning Attack
    Jinyin Chen, Haibin Zheng, Mengmeng Su, Tianyu Du, Changting Lin, Shouling Ji · 2020 · Lecture notes in computer science
69. DeepTrigger: A Watermarking Scheme of Deep Learning Models Based on Chaotic Automatic Data Annotation
    Yingqian Zhang, Yiran Jia, Xingyuan Wang, Qiong Niu, Niandong Chen · 2020 · IEEE Access
70. Cassandra: Detecting Trojaned Networks From Adversarial Perturbations
    Xiaoyu Zhang, Rohit Gupta, Ajmal Saeed Mian, Nazanin Rahnavard, Mubarak Shah · 2021 · IEEE Access
71. Design of intentional backdoors in sequential models
    Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani · 2019 · arXiv (Cornell University)
72. Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data
    Yongji Wu, Xiaoyu Cao, Jia, Jinyuan, Neil Zhenqiang Gong · 2021 · arXiv (Cornell University)
73. Intelligent Security Measures for Smart Cyber Physical Systems
    Muhammad Shafique, Faiq Khalid, Semeen Rehman · 2018 · Euromicro Conference on Digital System Design (DSD)
74. Backdoor Suppression in Neural Networks using Input Fuzzing and Majority Voting
    Esha Sarkar, Yousif Alkindi, Michail Maniatakos · 2020 · IEEE Design and Test
75. Towards Backdoor Attack on Deep Learning based Time Series Classification
    Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang · 2022 · IEEE International Conference on Data Engineering (ICDE)
76. Data Poisoning and Backdoor Attacks on Audio Intelligence Systems
    Yunjie Ge, Qian Wang, Jiayuan Yu, Chao Shen, Qi Lecky Li · 2023 · IEEE Communications Magazine
77. Backdoor attacks against distributed swarm learning
    Kongyang Chen, Huaiyuan Zhang, Xiangyu Feng, Xiaoting Zhang, Bing Mi, Zhiping Jin · 2023 · ISA Transactions
78. BDMMT: Backdoor Sample Detection for Language Models Through Model Mutation Testing
    Janguo Wei, Ming Yu Fan, Wenjing Jiao, Wuxia Jin, Ting Liu · 2024 · IEEE Transactions on Information Forensics and Security
79. FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
    Jiahe Lan, Jie Wang, Baochen Yan, Zheng Yan, Elisa Bertino · 2024 · IEEE Symposium on Security and Privacy (S&P)
80. RoFL: Attestable Robustness for Secure Federated Learning.
    Lukas Burkhalter, Hidde Lycklama, Alexander Viand, Nicolas Küchler, Anwar Hithnawi · 2021 · arXiv (Cornell University)
81. Towards Practical Backdoor Attacks on Federated Learning Systems
    Chenghui Shi, Shouling Ji, Xudong Pan, Xuhong Zhang, Mi Zhang, Min Yang, Jun Zhou, Jianwei Yin, Ting Wang · 2024 · IEEE Transactions on Dependable and Secure Computing
82. Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba
    Yunsheng Ma, Wenqian Ye, Can Cui, Haiming Zhang, Shuo Xing, Fucai Ke, Jinhong Wang, Chenglin Miao, Jintai Chen, Hamid Rezatofighi et al. · 2025 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
83. Backdoor attacks and defense mechanisms in federated learning: A survey
    Zhaozheng Li, Jiahe Lan, Zheng Yan, Erol Gelenbe A · 2025 · Information Fusion
84. Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies
    Farhad Abtahi, Fernando Seoane, Iván Pau, Mario Vega-Barbas · 2026 · Journal of Medical Internet Research
85. HybridTEE: Secure Mobile DNN Execution Using Hybrid Trusted Execution Environment
    Akshay Gangal, Mengmei Ye, Sheng Wei · 2020 · Asian Hardware Oriented Security and Trust Symposium (AsianHOST)
86. Identification for Deep Neural Network: Simply Adjusting Few Weights!
    Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li · 2022 · IEEE International Conference on Data Engineering (ICDE)
87. Natural Backdoor Attacks on Speech Recognition Models
    Jinwen Xin, Xixiang Lyu, Jing Ma · 2023 · Lecture notes in computer science
88. Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks
    Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Mia, Rong Jin, Gang Hua · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
89. The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
    Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei H. Yang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
    Junfeng Guo, Ang Li, Lixu Wang, Cong Liu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
91. Reaching Data Confidentiality and Model Accountability on the CalTrain
    Zhongshu Gu, Hani T. Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios E. Pendarakis, Ian Molloy · 2019 · International Conference on Dependable Systems & Networks/Proceedings
92. A multitarget backdooring attack on deep neural networks with random location trigger
    Yu Xiao, Cong Liu, Zheng Ming-wen, Wang Yajie, Liu Xinrui, Song Shuxiao, Ma Yuexuan, Jun Zheng · 2021 · International Journal of Intelligent Systems
93. TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks.
    Chuan Guo, Ruihan Wu, Kilian Q. Weinberger · 2020 · arXiv (Cornell University)
94. Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks
    Ahmed Salem, Michael Backes A, Yang Zhang · 2020 · arXiv (Cornell University)
95. BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
    Ahmed Salem, Yannick Sautter, Michael Backes A, Mathias Humbert, Yang Zhang · 2020 · arXiv (Cornell University)
96. NNoculation
    Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, P. Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg · 2021 · ACM Workshop on Artificial Intelligence and Security (AISec)
97. ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks
    Xueluan Gong, Yanjiao Chen, Jianshuo Dong, Qian Wang · 2022 · Network and Distributed System Security Symposium
98. Incremental Learning, Incremental Backdoor Threats
    Wenbo Jiang, Tianwei Zhang, Han Qiu, Hongwei Li, Guowen Xu · 2022 · IEEE Transactions on Dependable and Secure Computing
99. Turning Federated Learning Systems Into Covert Channels
    Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei · 2022 · IEEE Access
100. On the Effectiveness of Adversarial Training Against Backdoor Attacks
     Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu‐Tao Xia, Gang Niu, Masashi Sugiyama · 2023 · IEEE Transactions on Neural Networks and Learning Systems