| Broken Neural Scaling Laws | Oct 26, 2022 | Adversarial RobustnessContinual Learning | CodeCode Available | 1 |
| Adversarial Purification with the Manifold Hypothesis | Oct 26, 2022 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes | Oct 26, 2022 | Adversarial RobustnessRobust classification | CodeCode Available | 0 |
| Multi-view Representation Learning from Malware to Defend Against Adversarial Variants | Oct 25, 2022 | Adversarial RobustnessMULTI-VIEW LEARNING | —Unverified | 0 |
| Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network | Oct 25, 2022 | Adversarial RobustnessCausal Inference | —Unverified | 0 |
| FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification | Oct 25, 2022 | Adversarial RobustnessData Poisoning | —Unverified | 0 |
| Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games | Oct 23, 2022 | Adversarial Robustness | —Unverified | 0 |
| Evolution of Neural Tangent Kernels under Benign and Adversarial Training | Oct 21, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Chaos Theory and Adversarial Robustness | Oct 20, 2022 | Adversarial Robustness | —Unverified | 0 |
| LOT: Layer-wise Orthogonal Training on Improving _2 Certified Robustness | Oct 20, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Learning Sample Reweighting for Accuracy and Adversarial Robustness | Oct 20, 2022 | Adversarial RobustnessBilevel Optimization | —Unverified | 0 |
| On the Adversarial Robustness of Mixture of Experts | Oct 19, 2022 | Adversarial RobustnessMixture-of-Experts | —Unverified | 0 |
| Learning Transferable Adversarial Robust Representations via Multi-view Consistency | Oct 19, 2022 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| ROSE: Robust Selective Fine-tuning for Pre-trained Language Models | Oct 18, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Scaling Adversarial Training to Large Perturbation Bounds | Oct 18, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Improving Adversarial Robustness by Contrastive Guided Diffusion Process | Oct 18, 2022 | Adversarial RobustnessSynthetic Data Generation | —Unverified | 0 |
| Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations | Oct 17, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture | Oct 14, 2022 | Adversarial Robustness | CodeCode Available | 1 |
| An Embarrassingly Simple Backdoor Attack on Self-supervised Learning | Oct 13, 2022 | Adversarial RobustnessBackdoor Attack | CodeCode Available | 1 |
| Robust Models are less Over-Confident | Oct 12, 2022 | Adversarial Robustness | CodeCode Available | 1 |
| Visual Prompting for Adversarial Robustness | Oct 12, 2022 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks | Oct 11, 2022 | Adversarial RobustnessGPU | CodeCode Available | 0 |
| What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? | Oct 11, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization | Oct 11, 2022 | Adversarial DefenseAdversarial Robustness | —Unverified | 0 |
| Certified Training: Small Boxes are All You Need | Oct 10, 2022 | Adversarial RobustnessAll | CodeCode Available | 1 |
| Pruning Adversarially Robust Neural Networks without Adversarial Examples | Oct 9, 2022 | Adversarial Robustness | CodeCode Available | 1 |
| Symmetry Defense Against CNN Adversarial Perturbation Attacks | Oct 8, 2022 | Adversarial RobustnessAutonomous Vehicles | —Unverified | 0 |
| Towards Out-of-Distribution Adversarial Robustness | Oct 6, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| On Adversarial Robustness of Deep Image Deblurring | Oct 5, 2022 | Adversarial RobustnessDeblurring | —Unverified | 0 |
| Strength-Adaptive Adversarial Training | Oct 4, 2022 | Adversarial RobustnessScheduling | —Unverified | 0 |
| Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection | Oct 3, 2022 | Active Speaker DetectionAdversarial Robustness | —Unverified | 0 |
| Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis | Oct 2, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Understanding Adversarial Robustness Against On-manifold Adversarial Examples | Oct 2, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| On the tightness of linear relaxation based robustness certification methods | Oct 1, 2022 | Adversarial Robustness | —Unverified | 0 |
| Improving Robustness with Adaptive Weight Decay | Sep 30, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Adversarial Robustness of Representation Learning for Knowledge Graphs | Sep 30, 2022 | Adversarial RobustnessData Poisoning | CodeCode Available | 1 |
| Generalizability of Adversarial Robustness Under Distribution Shifts | Sep 29, 2022 | Adversarial RobustnessDomain Generalization | —Unverified | 0 |
| Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training | Sep 27, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| Fair Robust Active Learning by Joint Inconsistency | Sep 22, 2022 | Active LearningAdversarial Attack | —Unverified | 0 |
| Audit and Improve Robustness of Private Neural Networks on Encrypted Data | Sep 20, 2022 | Adversarial RobustnessPrivacy Preserving | —Unverified | 0 |
| AdvDO: Realistic Adversarial Attacks for Trajectory Prediction | Sep 19, 2022 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Characterizing Internal Evasion Attacks in Federated Learning | Sep 17, 2022 | Adversarial RobustnessFederated Learning | CodeCode Available | 1 |
| Towards Bridging the Performance Gaps of Joint Energy-based Models | Sep 16, 2022 | Adversarial RobustnessData Augmentation | CodeCode Available | 0 |
| Explicit Tradeoffs between Adversarial and Natural Distributional Robustness | Sep 15, 2022 | Adversarial Robustness | —Unverified | 0 |
| Part-Based Models Improve Adversarial Robustness | Sep 15, 2022 | Adversarial Robustness | CodeCode Available | 1 |
| A Light Recipe to Train Robust Vision Transformers | Sep 15, 2022 | Adversarial RobustnessData Augmentation | CodeCode Available | 1 |
| On the interplay of adversarial robustness and architecture components: patches, convolution and attention | Sep 14, 2022 | Adversarial Robustnessimage-classification | —Unverified | 0 |
| Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering | Sep 14, 2022 | Adversarial RobustnessQuestion Answering | —Unverified | 0 |
| PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack | Sep 14, 2022 | 3D ClassificationAdversarial Attack | CodeCode Available | 0 |
| Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries | Sep 14, 2022 | Adversarial Robustness | —Unverified | 0 |
