Adversarial Learning

E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024 EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection CVPR 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 Efficient Adversarial Training in LLMs with Continuous Attacks NeurIPS 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios ICLR 2024 Efficient local linearity regularization to overcome catastrophic overfitting ICLR 2024 Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Enhance Robustness of Language Models against Variation Attack through Graph Integration COLING 2024 Enhancing adversarial robustness in Natural Language Inference using explanations EMNLP 2024 Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NeurIPS 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets EMNLP 2024 Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off ECCV 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NeurIPS 2024