Adversarial Learning

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation IJCAI 2021 Self-supervised Adversarial Robustness for the Low-label, High-data Regime ICLR 2021 Semantic Concentration for Domain Adaptation ICCV 2021 SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense SemEval 2021 Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Sequential Randomized Smoothing for Adversarially Robust Speech Recognition EMNLP 2021 Simple and Effective Stochastic Neural Networks AAAI 2021 Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021 SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models AAAI 2021 Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm ICML 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021 SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NeurIPS 2021 Stabilized Medical Image Attacks ICLR 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021 Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021 Strategic Classification in the Dark ICML 2021 Strategic Classification Made Practical ICML 2021 Stress Test Evaluation of Biomedical Word Embeddings NAACL 2021 Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021