Adversarial Learning

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020 Targeted Adversarial Perturbations for Monocular Depth Prediction NeurIPS 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 The Attacker’s Perspective on Automatic Speaker Verification: An Overview Interspeech 2020 Thieves on Sesame Street! Model Extraction of BERT-based APIs ICLR 2020 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Towards Adversarially Robust Knowledge Graph Embeddings AAAI 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance CVPR 2020 Towards More Practical Adversarial Attacks on Graph Neural Networks NeurIPS 2020 Towards Robust Image Classification Using Sequential Attention Models CVPR 2020 Towards Transferable Targeted Attack CVPR 2020 Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks ACML 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking CVPR 2020 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020 Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations CVPR 2020 Understanding and Improving Fast Adversarial Training NeurIPS 2020 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020 Universal Adversarial Training AAAI 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020