Adversarial Learning

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ICML 2024 Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! ACL 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 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 Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 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 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024 Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024 Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense ECCV 2024 Exploring Adversarial Robustness of Deep State Space Models NeurIPS 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024 FacadeNet: Conditional Facade Synthesis via Selective Editing WACV 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NeurIPS 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning WACV 2024 Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries ICML 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024