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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
Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion
ICCV 2025
Adversarial Training for Probabilistic Robustness
ICCV 2025
PLA: Prompt Learning Attack against Text-to-Image Generative Models
ICCV 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
AAAI 2025
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
EMNLP 2025
Membership Inference Attacks with False Discovery Rate Control
ICCV 2025
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
EMNLP 2025
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
EMNLP 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
ICCV 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
ICCV 2025
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
ICCV 2025
Adversarial Attacks Against Automated Fact-Checking: A Survey
EMNLP 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
AAAI 2025
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation
AAAI 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
ICCV 2025
Neuromanifold-Regularized KANs for Shape-fair Feature Representations
ICCV 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup
CVPR 2025
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
CVPR 2025
Enhancing Adversarial Transferability with Adversarial Weight Tuning
AAAI 2025
Adversarial Robust Memory-Based Continual Learner
ICCV 2025
Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches
WACV 2025
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