Adversarial Training

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12 papers in the last four weeks, up 71% on the four weeks before. 0.1% of all new papers.

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Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
May 4, 2026Wenjing Duan, Qi Zhou, Yuanfan LiAdversarial Training AI-Generated Text Detection
Faculty of Electronic and Information Engineering, Xi’an Jiaotong University
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
May 4, 2026Guanmeng Xian, Ning Yang, Philip S. YuAdversarial Training Long-Tailed Classification
Sichuan University, Chengdu, China · University of Illinois at Chicago, USA
Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
May 2, 2026Jiabei Zhang, Ziyuan Yang, Andrew Beng Jin Teoh +1Adversarial Training Adversarial Attacks
School of Cyber Science and Engineering, Sichuan University · Lee Kong Chian School of Medicine, Nanyang Technological University · School of Electrical and Electronic Engineering, Yonsei University
LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
May 1, 2026Venkata Pushpak Teja MentaAdversarial Training Adversarial Representation Learning
Praxel Ventures
Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
May 1, 2026Emma Andrews, Nahyeon Kim, Prabhat MishraAdversarial Training Adversarial Robustness
University of Florida, Gainesville, FL, USA
Dynamic Adversarial Fine-Tuning Reorganizes Refusal Geometry
Apr 29, 2026Wenhao Lan, Shan Li, Xinhua Lai +4Adversarial Training Language Model Safety Evaluation
University of Chinese Academy of Sciences, Beijing, China · Inner Mongolia University of Technology, Inner Mongolia, China · Tsinghua University, Beijing, China +1
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
Apr 29, 2026Yuan Xin, Yixuan Weng, Minjun Zhu +5Adversarial Training Adversarial Prompt Generation
1CISPA · 2Westlake University · 3Southern University of Science and Technology +1
Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
Apr 29, 2026Yanyun Wang, Qingqing Ye, Li Liu +2Adversarial Training Neural Network Robustness
1HK PolyU · 2HKUST (GZ) · 2HKUST (GZ
Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training
Apr 27, 2026Mengnan Zhao, Lihe Zhang, Tianhang Zheng +2Adversarial Training Neural Network Generalization
School of Computer Science and Technology, Anhui University, Hefei 230601, China · School of Information and Communication Engineering, Dalian University of Technology (DUT), Dalian 116024, China · School of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China +1
Mitigating Error Amplification in Fast Adversarial Training
Apr 27, 2026Mengnan Zhao, Lihe Zhang, Bo Wang +3Adversarial Training Neural Network Generalization
Anhui University, Anhui, China · Dalian University of Technology, Liaoning, China · Zhejiang University, Zhejiang, China +1
Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
Apr 23, 2026Vishal RajputAdversarial Training Representation Geometry
1KU Leuven, Belgium.
FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
Apr 22, 2026Chao Pan, Xin YaoAdversarial Training Adversarial Robustness
Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · School of Data Science, Lingnan University, Hong Kong, China
Benign Overfitting in Adversarial Training for Vision Transformers
Apr 21, 2026Jiaming Zhang, Meng Ding, Shaopeng Fu +2Adversarial Training Neural Network Generalization
Division of CEMSE, King Abdullah University of Science and Technology · School of Statistics, Renmin University of China · Department of Computer Science and Engineering, State University of New York at Buffalo +1
Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification
Apr 18, 2026Antonio Valerio Miceli Barone, Poon Tsz NokAdversarial Training Self-Play RL
School of Informatics, University of Edinburgh
Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
Mar 4, 2026Haoyu Liu, Dingcheng Li, Lukas Rutishauser +1Adversarial Training Multimodal Robustness
UC Berkeley, IEOR & BAIR · Google · Google Deepmind
A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification
Feb 11, 2026Seongwon Jin, Hanseul Choi, Sunggu Yang +2Adversarial Training Data Augmentation
Department of Computer Science and Engineering, Incheon National University, Yeonsu-gu, 22012, Incheon, Republic of Korea · Department of Nanobioengineering, Incheon National University, Yeonsu-gu, 22012, Incheon, Republic of Korea · Center for Brain-Machine Interface, Incheon National University, Yeonsu-gu, 22012, Incheon, Republic of Korea +1
Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking
Feb 2, 2026Mohammad Beigi, Ming Jin, Junshan Zhang +2Adversarial Training Reward Hacking
Department of Computer Science, University of California, Davis, USA · Virginia Tech, Blacksburg, USA · Meta AI Research.
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Adaptive LLM-Generated Fake News Detection
Jan 7, 2026Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin +4Adversarial Training Fake News Detection
National Taiwan University, Taipei, Taiwan
Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition
Dec 31, 2025Yuchao Hou, Zixuan Zhang, Jie Wang +9Adversarial Training Remote Sensing
Shanxi Normal University, Taiyuan, China · Guizhou University, Guiyang, China · Shanxi Key Laboratory of Cryptography and Data Security, School of Computer Science and Artificial Intelligence, Shanxi Normal University, Taiyuan 030031, China +15
destroR: A Benchmark and Adversarial-Training Defense for Bangla Transfer Models under Meaning-Preserving Attacks
Nov 13, 2025Saadat Rafid Ahmed, Rubayet Shareen, Radoan Sharkar +3Adversarial Training Sentiment Analysis
Dept. of Computer Science and Engineering, BRAC University
Solver-Integrated Adversarial Attacking and Training of Neural Operators
Oct 21, 2025Yifei SunAdversarial Training Adversarial Attacks
CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection
Oct 10, 2025Zhao Tong, Chunlin Gong, Yimeng Gu +5Adversarial Training Fake News Detection
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · University of Minnesota +3
On the Escaping Efficiency of Distributed Adversarial Training Algorithms
Sep 14, 2025Ying Cao, Kun Yuan, Ali H. SayedAdversarial Training Adversarial Robustness
Institute of Electrical and Micro Engineering in EPFL, Lausanne · Center for Machine Learning Research (CMLR) in Peking University
Unified Enhancement of the Generalization and Robustness of Language Models via Bi-Stage Optimization
Mar 19, 2025Yudao Sun, Juan Yin, Juan Zhao +3Adversarial Training Neural Network Generalization
Department of New Networks, Peng Cheng Laboratory, Shenzhen 518055, China · Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore 117576 · School of Data Science and Artificial Intelligence, Chang’an University, Shaanxi, 710064, China
How Learning Dynamics Drive Adversarially Robust Generalization?
Oct 10, 2024Yuelin Xu, Xiao ZhangAdversarial Training PAC-Bayesian Generalization Bounds
CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

May 4, 2026, cs.CRJ/K move · Enter open · S save

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training

Wenjing Duan, Qi Zhou, Yuanfan Li

Faculty of Electronic and Information Engineering, Xi’an Jiaotong University

Adversarial Training AI-Generated Text Detection Black-Box Adversarial Attacks Robustness of Machine-Generated Text Detection Adversarial Text Attacks

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Machine-generated text (MGT) detection is critical for regulating online information ecosystems, yet existing detectors often underperform in few-shot settings and remain vulnerable to adversarial, humanizing attacks. To build accurate and robust detectors under limited supervision, we adopt a threat-modeling perspective and study detector vulnerabilities from an attacker's viewpoint under an output-only black-box setting. Motivated by this perspective, we propose RAG-GuidEd Attacker Strengthens ConTrastive Few-shot Detector (REACT), an adversarial training framework that improves both few-shot detection performance and robustness against attacks. REACT couples a humanization-oriented attacker with a target detector: the attacker leverages retrieval-augmented generation (RAG) to craft highly human-like adversarial examples to evade detection, while the detector learns from these adversaries with a contrastive objective to stabilize few-shot representation learning and enhance robustness. We alternately update the attacker and the detector to enable their co-evolution. Experiments on 4 datasets with 4 shot sizes and 3 random seeds show that REACT improves average detection F1 by 4.95 points over 8 state-of-the-art (SOTA) detectors and reduces the average attack success rate (ASR) under 4 strong attacks by 3.66 percentage points.

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