| F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns | Oct 23, 2023 | Adversarial RobustnessDisentanglement | —Unverified | 0 |
| Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval | Oct 23, 2023 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers | Oct 19, 2023 | Adversarial Robustness | —Unverified | 0 |
| OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift | Oct 19, 2023 | Adversarial RobustnessBenchmarking | CodeCode Available | 1 |
| SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation | Oct 19, 2023 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now | Oct 18, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks | Oct 18, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning | Oct 17, 2023 | Adversarial RobustnessFederated Learning | —Unverified | 0 |
| A Non-monotonic Smooth Activation Function | Oct 16, 2023 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization | Oct 12, 2023 | Adversarial RobustnessHyperparameter Optimization | CodeCode Available | 1 |
| Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches | Oct 11, 2023 | Adversarial Robustness | —Unverified | 0 |
| Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach | Oct 10, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks | Oct 10, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE | Oct 10, 2023 | Adversarial RobustnessDensity Estimation | —Unverified | 0 |
| A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks | Oct 10, 2023 | Adversarial Robustness | —Unverified | 0 |
| PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization | Oct 9, 2023 | Adversarial RobustnessGeneralization Bounds | —Unverified | 0 |
| VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models | Oct 7, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria | Oct 5, 2023 | Adversarial AttackAdversarial Defense | CodeCode Available | 0 |
| Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions | Oct 4, 2023 | Adversarial Robustness | —Unverified | 0 |
| Can Language Models be Instructed to Protect Personal Information? | Oct 3, 2023 | Adversarial RobustnessRed Teaming | —Unverified | 0 |
| AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework | Oct 3, 2023 | Adversarial RobustnessScheduling | —Unverified | 0 |
| Understanding Robust Overfitting from the Feature Generalization Perspective | Oct 1, 2023 | Adversarial RobustnessData Augmentation | —Unverified | 0 |
| Intrinsic Biologically Plausible Adversarial Robustness | Sep 29, 2023 | Adversarial Robustness | —Unverified | 0 |
| Adversarial Machine Learning in Latent Representations of Neural Networks | Sep 29, 2023 | Adversarial RobustnessEdge-computing | CodeCode Available | 0 |
| On the Trade-offs between Adversarial Robustness and Actionable Explanations | Sep 28, 2023 | Adversarial Robustness | —Unverified | 0 |
| Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness | Sep 28, 2023 | Adversarial Robustness | —Unverified | 0 |
| Projected Randomized Smoothing for Certified Adversarial Robustness | Sep 25, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning | Sep 24, 2023 | Adversarial Robustness | —Unverified | 0 |
| RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias | Sep 23, 2023 | Adversarial Robustness | —Unverified | 0 |
| VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks | Sep 22, 2023 | Adversarial RobustnessKeyword Spotting | —Unverified | 0 |
| On the Relationship between Skill Neurons and Robustness in Prompt Tuning | Sep 21, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| How Robust is Google's Bard to Adversarial Image Attacks? | Sep 21, 2023 | Adversarial RobustnessChatbot | CodeCode Available | 1 |
| Language Guided Adversarial Purification | Sep 19, 2023 | Adversarial DefenseAdversarial Purification | CodeCode Available | 0 |
| Evaluating Adversarial Robustness with Expected Viable Performance | Sep 18, 2023 | Adversarial Robustness | —Unverified | 0 |
| DAD++: Improved Data-free Test Time Adversarial Defense | Sep 10, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Exploring Robust Features for Improving Adversarial Robustness | Sep 9, 2023 | Adversarial RobustnessDisentanglement | —Unverified | 0 |
| Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing | Sep 8, 2023 | Adversarial Robustnessregression | CodeCode Available | 0 |
| Adversarially Robust Learning with Optimal Transport Regularized Divergences | Sep 7, 2023 | Adversarial RobustnessDeep Learning | CodeCode Available | 0 |
| J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News | Sep 6, 2023 | Adversarial RobustnessArticles | CodeCode Available | 0 |
| RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems | Sep 5, 2023 | Adversarial RobustnessQuantization | —Unverified | 0 |
| Robust Principles: Architectural Design Principles for Adversarially Robust CNNs | Aug 30, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Advancing Adversarial Robustness Through Adversarial Logit Update | Aug 29, 2023 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 |
| Prediction without Preclusion: Recourse Verification with Reachable Sets | Aug 24, 2023 | Adversarial RobustnessPrediction | CodeCode Available | 0 |
| Fast Adversarial Training with Smooth Convergence | Aug 24, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers | Aug 24, 2023 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging | Aug 22, 2023 | Adversarial RobustnessData Augmentation | CodeCode Available | 1 |
| Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models | Aug 21, 2023 | Adversarial RobustnessBenchmarking | —Unverified | 0 |
| On the Adversarial Robustness of Multi-Modal Foundation Models | Aug 21, 2023 | Adversarial AttackAdversarial Robustness | CodeCode Available | 1 |
| HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds | Aug 20, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting | Aug 20, 2023 | Adversarial Robustness | CodeCode Available | 1 |
