adversarial robustness

Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023 Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving CVPR 2023 Understanding Zero-shot Adversarial Robustness for Large-Scale Models ICLR 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Use perturbations when learning from explanations NeurIPS 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NeurIPS 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS 2023 You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models EMNLP 2023 3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022 A2: Efficient Automated Attacker for Boosting Adversarial Training NeurIPS 2022 A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NeurIPS 2022 A Closer Look at Embedding Propagation for Manifold Smoothing JMLR 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models NeurIPS 2022 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022 Adversarial Bone Length Attack on Action Recognition AAAI 2022 Adversarial Interpretation of Bayesian Inference ALT 2022 Adversarial Learning from Crowds AAAI 2022 Adversarially Robust Conformal Prediction ICLR 2022 Adversarially Robust Kernel Smoothing AISTATS 2022 Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022 Adversarially Robust Stability Certificates can be Sample-Efficient L4DC 2022 Adversarially trained neural representations may already be as robust as corresponding biological neural representations ICML 2022 Adversarial Robustness against Multiple and Single l_p-Threat Models via Quick Fine-Tuning of Robust Classifiers ICML 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022