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Machine Learning
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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
AAAI 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
EMNLP 2025
Detecting and Corrupting Convolution-based Unlearnable Examples
AAAI 2025
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
ICCV 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
ICCV 2025
Rethinking Backdoor Detection Evaluation for Language Models
EMNLP 2025
SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs
COLING 2025
DAMAGE: Detecting Adversarially Modified AI Generated Text
COLING 2025
Boosting Sentiment Analysis in Persian through a GAN-Based Synthetic Data Augmentation Method
COLING 2025
AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt
EMNLP 2025
The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
EMNLP 2025
Jailbreak LLMs through Internal Stance Manipulation
EMNLP 2025
SPIRIT: Patching Speech Language Models against Jailbreak Attacks
EMNLP 2025
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
EMNLP 2025
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
ICCV 2025
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time
EMNLP 2025
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
EMNLP 2025
Transitive self-consistency evaluation of NLI models without gold labels
EMNLP 2025
Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection
ICCV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack
ICCV 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
ICCV 2025
GRADA: Graph-based Reranking against Adversarial Documents Attack
EMNLP 2025
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
WACV 2025
Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches
WACV 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
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