Check computer science papers: citations, claims and retractions

Getting pwn’d by AI: Penetration Testing with Large Language Models

Happe, A., & Cito, J. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning

Cited by 144

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

Xu, Y., Biswal, S., Deshpande, S. R., Maher, K. O., & Sun, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 144

Semantics-Based Obfuscation-Resilient Binary Code Similarity Comparison with Applications to Software and Algorithm Plagiarism Detection

Luo, L., Ming, J., Wu, D., Liu, P., & Zhu, S. (2017) · IEEE Transactions on Software Engineering

Software Engineering ResearchSecurity and Verification in Computing

Cited by 144

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Pan, L., Albalak, A., Wang, X., & Wang, W. Y. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 144

Effect of sensor fusion for recognition of emotional states using voice, face image and thermal image of face

Yoshitomi, Y., Kim, S.-I., Kawano, T., & Kilazoe, T. (2002) · Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 144

DataSynthesizer: Privacy-Preserving Synthetic Datasets

Ping, H., Stoyanovich, J., & Howe, B. (2017) · Proceedings of the 29th International Conference on Scientific and Statistical Database Management

Privacy-Preserving Technologies in Datademographic modeling and climate adaptation

Cited by 144

Energy aware dwelling: a critical survey of interaction design for eco-visualizations

Pierce, J., Odom, W., & Blevis, E. (2008) · Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat

Innovative Human-Technology InteractionPro-Environmental Behavior and Attitudes

Cited by 144

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

Lin, X. V., Wang, C., Zettlemoyer, L., & Ernst, M. D. (2018) · arXiv

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 144

Distribution-free, Risk-controlling Prediction Sets

Bates, S., Angelopoulos, A., Lei, L., Malik, J., & Jordan, M. (2021) · Journal of the ACM

Adversarial Robustness in Machine LearningMachine Learning and Algorithms

Cited by 144

Show Your Work: Scratchpads for Intermediate Computation with Language Models

Nye, M., Andreassen, A. J., Gur-Ari, G., Michalewski, H., Austin, J., Bieber, D., Dohan, D., Lewkowycz, A., Bosma, M., Luan, D., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 144

Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets

Matejka, J., Glueck, M., Bradner, E., Hashemi, A., Grossman, T., & Fitzmaurice, G. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsArchitecture and Computational Design

Cited by 144

I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI

Chromik, M., Eiband, M., Buchner, F., Krüger, A., & Butz, A. (2021) · 26th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 144

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Zhang, Z., Zhao, T., Guo, Y., & Yin, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 144

IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers

Jeong, H.-J., Lee, H.-J., Shin, C. H., & Moon, S.-M. (2018) · Proceedings of the ACM Symposium on Cloud Computing

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 143

May I experience more presence in doing the same thing in virtual reality than in reality? An answer from a simulated job interview

Villani, D., Repetto, C., Cipresso, P., & Riva, G. (2012) · Interacting with Computers

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 143

Evaluating Verifiability in Generative Search Engines

Liu, N. F., Zhang, T., & Liang, P. (2023) · arXiv

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 143

Toolkit to support intelligibility in context-aware applications

Lim, B. Y., & Dey, A. K. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing

Explainable Artificial Intelligence (XAI)Context-Aware Activity Recognition Systems

Cited by 143

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Zhan, Q., Liang, Z., Ying, Z., & Kang, D. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 143

Towards the Limit of Network Quantization

Choi, Y., El-Khamy, M., & Lee, J. (2016) · arXiv

Advanced Neural Network ApplicationsAdvanced Data Compression Techniques

Cited by 143

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Real, E., Liang, C., So, D. R., & Le, Q. V. (2020) · arXiv

Evolutionary Algorithms and ApplicationsMachine Learning and Data Classification

Cited by 143

ChatGPT: Future Directions and Open possibilities

Aljanabi, M. (2023) · Mesopotamian Journal of CyberSecurity

Topic ModelingArtificial Intelligence Applications

Cited by 143

DynaBERT: Dynamic BERT with Adaptive Width and Depth

Hou, L., Huang, Z., Shang, L., Jiang, X., Chen, X., & Liu, Q. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 143

Model agnostic generation of counterfactual explanations for molecules

Wellawatte, G. P., Seshadri, A., & White, A. D. (2022) · Chemical Science

Explainable Artificial Intelligence (XAI)Computational Drug Discovery Methods

Cited by 143

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

Alzubaidi, L., Al-Shamma, O., Fadhel, M. A., Farhan, L., Zhang, J., & Duan, Y. (2020) · Electronics

AI in cancer detectionDigital Imaging for Blood Diseases

Cited by 143