← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Evading Data Provenance in Deep Neural Networks ICCV 2025
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025
Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization ICCV 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation ICCV 2025
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation ICCV 2025
On the Robustness Tradeoff in Fine-Tuning ICCV 2025
Adversarial Exploitation of Data Diversity Improves Visual Localization ICCV 2025
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment EMNLP 2025
InfAL: Inference Time Adversarial Learning for Improving Research Ideation EMNLP 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models EMNLP 2025
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025
Dagger Behind Smile: Fool LLMs with a Happy Ending Story EMNLP 2025
MULBERE: Multilingual Jailbreak Robustness Using Targeted Latent Adversarial Training EMNLP 2025
Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy EMNLP 2025
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents EMNLP 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation EMNLP 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows EMNLP 2025
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models EMNLP 2025
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak EMNLP 2025
Enhancing Chinese Offensive Language Detection with Homophonic Perturbation EMNLP 2025
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning EMNLP 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025