Adversarial Learning

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate NAACL 2022 Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning Interspeech 2022 Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging AACL 2022 Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks AAAI 2022 Hindering Adversarial Attacks with Implicit Neural Representations ICML 2022 How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022 How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022 How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection ICML 2022 Identifying Human Strategies for Generating Word-Level Adversarial Examples EMNLP 2022 Imitation Learning from Observations under Transition Model Disparity ICLR 2022 Imperceptible Backdoor Attack: From Input Space to Feature Representation IJCAI 2022 Implicit Bias of Adversarial Training for Deep Neural Networks ICLR 2022 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation ICML 2022 Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022 Improved techniques for deterministic l2 robustness NeurIPS 2022 Improved Text Classification via Contrastive Adversarial Training AAAI 2022 Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator NeurIPS 2022 Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Improving Faithfulness by Augmenting Negative Summaries from Fake Documents EMNLP 2022