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Methodology
← Learning Types
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
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
CVPR 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service
ACL 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
ICCV 2025
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach
ACL 2025
Generative Adversarial Diffusion
ICCV 2025
Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities
ACL 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
CVPR 2025
FREE: Fast and Robust Vision Language Models with Early Exits
ACL 2025
Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors
ACL 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
ACL 2025
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
ACL 2025
Adversarial Attention Perturbations for Large Object Detection Transformers
ICCV 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation
ICCV 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training
ICCV 2025
PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection
ICCV 2025
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions
ICCV 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
ICCV 2025
Membership Inference Attacks with False Discovery Rate Control
ICCV 2025
Adversarial Training for Probabilistic Robustness
ICCV 2025
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
ICCV 2025
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
ICCV 2025
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
IJCAI 2025
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