Adversarial Learning

Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023 DE-net: Dynamic Text-Guided Image Editing Adversarial Networks AAAI 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 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Dynamic Generative Targeted Attacks With Pattern Injection CVPR 2023 Dynamic Transformers Provide a False Sense of Efficiency ACL 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 Enhanced Multimodal Representation Learning With Cross-Modal KD CVPR 2023 Enhancing the Self-Universality for Transferable Targeted Attacks CVPR 2023 Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023 Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023 Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces CVPR 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023