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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
ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
CVPR 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
CVPR 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
ICCV 2025
PLA: Prompt Learning Attack against Text-to-Image Generative Models
ICCV 2025
Prototype Guided Backdoor Defense via Activation Space Manipulation
ICCV 2025
Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection
ACL 2025
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
AAAI 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing
ICCV 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
ICCV 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
CVPR 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
ICCV 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
ICCV 2025
STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models
CVPR 2025
Physical Adversarial Camouflage Through Gradient Calibration and Regularization
IJCAI 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion
ICCV 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
FREE: Fast and Robust Vision Language Models with Early Exits
ACL 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
ACL 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
CVPR 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL
ACL 2025
Adversarial Robust Memory-Based Continual Learner
ICCV 2025
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
CVPR 2025
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