Koushanfar, Farinaz
University of California San Diego
10 papers on CoChatORCID 0000-0003-0798-3794
Most cited papers
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Advances and Open Problems in Federated Learning
Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 7,857
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A Survey of Hardware Trojan Taxonomy and Detection
Tehranipoor, M., & Koushanfar, F. (2010) · IEEE Design & Test of Computers
Physical Unclonable Functions (PUFs) and Hardware SecurityVLSI and Analog Circuit Testing
Cited by 1,424
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DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
Chen, H., Fu, C., Zhao, J., & Koushanfar, F. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 314
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A Taxonomy of Attacks on Federated Learning
Jere, M. S., Farnan, T., & Koushanfar, F. (2021) · IEEE Security & Privacy
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 217
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Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
Hussain, S., Neekhara, P., Jere, M., Koushanfar, F., & McAuley, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Digital Media Forensic DetectionAdversarial Robustness in Machine Learning
Cited by 204
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FPGA-Based True Random Number Generation Using Circuit Metastability with Adaptive Feedback Control
Majzoobi, M., Koushanfar, F., & Devadas, S. (2011) · Lecture Notes in Computer Science
Physical Unclonable Functions (PUFs) and Hardware SecurityCryptographic Implementations and Security
Cited by 155
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Peer-to-peer Federated Learning on Graphs
Lalitha, A., Kilinc, O. C., Javidi, T., & Koushanfar, F. (2019) · arXiv
Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems
Cited by 146
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Decentralized Bayesian Learning over Graphs
Lalitha, A., Wang, X., Kilinc, O., Lu, Y., Javidi, T., & Koushanfar, F. (2019) · arXiv
Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems
Cited by 20
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Trustworthy AI Inference Systems: An Industry Research View
Cammarota, R., Schunter, M., Rajan, A., Boemer, F., Kiss, Á., Treiber, A., Weinert, C., Schneider, T., Stapf, E., Sadeghi, A.-R., et al. (2020) · arXiv
Security and Verification in ComputingPrivacy-Preserving Technologies in Data
Cited by 9
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Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Huo, M., Somayajula, S. A., Liang, Y., Zhang, R., Koushanfar, F., & Xie, P. (2024) · arXiv
Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning
Cited by 5
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