 Adversarial Machine Learning in Image Classification: A Survey Towards
the Defender's PerspectiveACM Computing Surveys (ACM CSUR), 2020 |
 Adversarial Examples on Object Recognition: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2020 |
 Blacklight: Scalable Defense for Neural Networks against Query-Based
Black-Box AttacksUSENIX Security Symposium (USENIX Security), 2020 |
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 Vulnerabilities of Connectionist AI Applications: Evaluation and DefenceFrontiers in Big Data (Front. Big Data), 2020 |
 Real-Time Detectors for Digital and Physical Adversarial Inputs to
Perception SystemsInternational Conference on Cyber-Physical Systems (ICCPS), 2020 |
 Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020 |
 DLA: Dense-Layer-Analysis for Adversarial Example DetectionEuropean Symposium on Security and Privacy (EuroS&P), 2019 |
 Lower Bounds on Adversarial Robustness from Optimal TransportNeural Information Processing Systems (NeurIPS), 2019 |
