adversarial defense

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022 Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022 CARBEN: Composite Adversarial Robustness Benchmark IJCAI 2022 Certified Patch Robustness via Smoothed Vision Transformers CVPR 2022 CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets AAAI 2022 Combating Adversaries with Anti-adversaries AAAI 2022 Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense ICML 2022 DAD: Data-Free Adversarial Defense at Test Time WACV 2022 Data dependent randomized smoothing UAI 2022 Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision AAAI 2022 Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser Interspeech 2022 Detecting textual adversarial examples through randomized substitution and vote UAI 2022 Diffusion Models for Adversarial Purification ICML 2022 DISCO: Adversarial Defense with Local Implicit Functions NeurIPS 2022 Don’t sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks NAACL 2022 Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples NeurIPS 2022 GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing ICML 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching CVPR 2022 Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022 Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks COLING 2022 Learning to Generate Inversion-Resistant Model Explanations NeurIPS 2022 LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning AAAI 2022 LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NeurIPS 2022 Modeling Adversarial Noise for Adversarial Training ICML 2022