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adversarial defense

356 papers

Papers

PatchZero: Defending Against Adversarial Patch Attacks by Detecting and Zeroing the Patch WACV 2023 Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023 Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network IJCAI 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Provable Defense Against Geometric Transformations ICLR 2023 Raising the Cost of Malicious AI-Powered Image Editing ICML 2023 RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NeurIPS 2023 Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots NeurIPS 2023 Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack ACL 2023 TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification ICLR 2023 The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023 Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection AAAI 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Training on Foveated Images Improves Robustness to Adversarial Attacks NeurIPS 2023 Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023 Understanding and Improving Ensemble Adversarial Defense NeurIPS 2023 XRand: Differentially Private Defense against Explanation-Guided Attacks AAAI 2023 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models NeurIPS 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks NeurIPS 2022 Adversarial Text Normalization NAACL 2022 Are Defenses for Graph Neural Networks Robust? NeurIPS 2022 Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NeurIPS 2022 A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks NeurIPS 2022