Adversarial Learning

Boosting Adversarial Transferability using Dynamic Cues ICLR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries ICLR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023 Defending against Adversarial Audio via Diffusion Model ICLR 2023 Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training NeurIPS 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks ACML 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 DIP: Dead code Insertion based Black-box Attack for Programming Language Model ACL 2023 Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023