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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
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
AAAI 2025
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
AAAI 2025
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
CVPR 2025
Perception-Guided Jailbreak Against Text-to-Image Models
AAAI 2025
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
AAAI 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
CVPR 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
AAAI 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning
AAAI 2025
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
AAAI 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
CVPR 2025
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
CVPR 2025
From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection
NAACL 2025
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
AAAI 2025
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
AAAI 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
CVPR 2025
Compositional Targeted Multi-Label Universal Perturbations
CVPR 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
CVPR 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
CVPR 2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
CVPR 2025
Science-T2I: Addressing Scientific Illusions in Image Synthesis
CVPR 2025
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
AAAI 2025
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
AAAI 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025
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