Adversarial Learning

Composite Backdoor Attacks Against Large Language Models NAACL 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024 Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training ICLR 2024 Consistency-GAN: Training GANs with Consistency Model AAAI 2024 Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Consistent Document-level Relation Extraction via Counterfactuals EMNLP 2024 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NeurIPS 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NeurIPS 2024 Context-aware Adversarial Attack on Named Entity Recognition EACL 2024 Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024 Continuous Invariance Learning ICLR 2024 Contracting with a Learning Agent NeurIPS 2024 Countering Personalized Text-to-Image Generation with Influence Watermarks CVPR 2024 Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation ICML 2024 Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024 Cross-Lingual NLU: Mitigating Language-Specific Impact in Embeddings Leveraging Adversarial Learning COLING 2024 Cross-Modality Perturbation Synergy Attack for Person Re-identification NeurIPS 2024 CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024 CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models ACL 2024 Curiosity-driven Red-teaming for Large Language Models ICLR 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 Curvature-Invariant Adversarial Attacks for 3D Point Clouds AAAI 2024 D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles WACV 2024 DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024