Adversarial Learning

Multi-target Backdoor Attacks for Code Pre-trained Models ACL 2023 Multi-task Hierarchical Adversarial Inverse Reinforcement Learning ICML 2023 Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023 NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic ACL 2023 Near-Optimal Adversarial Reinforcement Learning with Switching Costs ICLR 2023 NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition Interspeech 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 Noise Based Deepfake Detection via Multi-Head Relative-Interaction AAAI 2023 Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023 Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals Interspeech 2023 No offence, Bert - I insult only humans! Multilingual sentence-level attack on toxicity detection networks EMNLP 2023 No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions NeurIPS 2023 NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models ACL 2023 ODA_SRIB at SemEval-2023 Task 9: A Multimodal Approach for Improved Intimacy Analysis SemEval 2023 On Achieving Optimal Adversarial Test Error ICLR 2023 On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition IJCAI 2023 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023 One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks ICLR 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models NeurIPS 2023 One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning AISTATS 2023 Online Learning in Dynamically Changing Environments COLT 2023