Adversarial Learning

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023 Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently WACV 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction AAAI 2023 Computational Asymmetries in Robust Classification ICML 2023 Computation and Data Efficient Backdoor Attacks ICCV 2023 Confidence-Aware Training of Smoothed Classifiers for Certified Robustness AAAI 2023 Conflicting Interactions among Protection Mechanisms for Machine Learning Models AAAI 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Connecting Certified and Adversarial Training NeurIPS 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation AAAI 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023 Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023 Counterfactual Debiasing for Fact Verification ACL 2023 Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment AAAI 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023 CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023 CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection ICCV 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability EMNLP 2023