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Artificial Intelligence
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Adversarial Learning
1235 directly classified papers
Papers per year
2009: 1
2010: 1
2011: 1
2013: 1
2014: 1
2016: 1
2017: 7
2018: 35
2019: 86
2020: 130
2021: 166
2022: 188
2023: 166
2024: 185
2025: 264
2026: 2
Papers
SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout
ICCV 2025
Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection
ICCV 2025
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance
ICCV 2025
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
ICCV 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
ICCV 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
EMNLP 2025
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment
EMNLP 2025
KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles
ICCV 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
ICCV 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 2025
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
EMNLP 2025
InfAL: Inference Time Adversarial Learning for Improving Research Ideation
EMNLP 2025
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
EMNLP 2025
Boosting Adversarial Transferability via Negative Hessian Trace Regularization
ICCV 2025
Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts
EMNLP 2025
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
EMNLP 2025
Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion
EMNLP 2025
Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
CVPR 2025
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
CVPR 2025
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
CVPR 2025
Compositional Targeted Multi-Label Universal Perturbations
CVPR 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
CVPR 2025
Identifying and Mitigating Spurious Correlation in Multi-Task Learning
CVPR 2025
DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models
EMNLP 2025
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