Adversarial Training

Follow this topic Ask about this topic

Momentum

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

Jul 13Week of Sep 28

Latest papers 115

All topics

Breaking Adversarial Transferability in Fine-Tuned Speech Recognition
Oct 6, 2026Mojtaba Nafez, Aref Mousavi, Mohammad Ebrahim Mahdavi +3Adversarial Transferability Automatic Speech Recognition
Department of Computer Engineering Sharif University of Technology · Department of Computer Engineering University of Isfahan
AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
Oct 6, 2026Sarim Hashmi, Mukul Ranjan, Kshitij Mishra +3Adversarial Training Sim-to-Real Transfer
Mohamed bin Zayed University of Artificial Intelligence · Amazon · Massachusetts Institute of Technology
Adversarially Trained Linear Transformers Are Optimal Robust In-Context Learners for Gaussian Mixtures
Oct 6, 2026Soichiro KumanoAdversarial Training Transformer
LY Corporation
Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning
Oct 6, 2026Zhijun Zhang, Qianlong Wang, Keyang Ding +5Adversarial Training Argument Mining
College of Applied Science, Shenzhen University, Shenzhen, China · School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · Harbin Institute of Technology (Shenzhen), Shenzhen, China +2
Adversarial Training for Deep Hedging in Nonstationary Markets
Oct 5, 2026Philipp J. Schneider, Lukas Looser, Antoine Garin +2Adversarial Training Quantitative Finance
Risk Analytics and Optimization Chair, EPFL, Lausanne, Switzerland · University of Waterloo, Waterloo, Canada
Online AutoML: Evaluating Poisoning Attacks on Adversarial Training Defense Strategy in IoT Networks
Oct 5, 2026Chukwunonso Henry Nwokoye, Khalil El-Khatib, Li YangAdversarial Training Internet of Things
Faculty of Business and Information Technology, Ontario Tech University, Oshawa, Ontario, Canada · Department of Computer Science, Alex Ekwueme Federal University, Nigeria
PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization
Oct 1, 2026Ahmed Sharshar, Asif Hanif, Naveen Kumar Kummari +2Adversarial Training Data Augmentation
Division of Computing and Mathematical Sciences Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Probabilistic Adversarial Training
Sep 30, 2026Andi Zhang, Xingyu Zhao, Siddartha KhastgirAdversarial Training Adversarial Robustness
WMG, University of Warwick · Wuhan University
Understanding as No-Arbitrage: Bounded Dutch Books as a Definition and Training Objective for Language Models
Sep 30, 2026Daniel DragonevskiyAdversarial Training Reasoning Consistency in Language Models
Adversarial Training for Pixel Diffusion
Sep 29, 2026Xin Lin, Zhifei Zhang, Yuqian Zhou +4Adversarial Training Pixel-Space Diffusion Models
UC San Diego · Adobe Research · Work done during an internship at Adobe Research +1
Mutually Adversarial Self-Training with Evolving Data for Unified Multimodal Models
Sep 28, 2026Wentao Zhou, Weijie Gan, Jiayun WangAdversarial Training Unified Multimodal Models
Georgia Institute of Technology · Washington University in St. Louis
CoDeL: Co-Evolutionary Defense against Indirect Prompt Injection in LLM-based Agents
Sep 28, 2026Xiao Yang, Yangchen Ou, Yuhan Gao +3Adversarial Training LLM Agent Security
School of Computer Science and Engineering, Beihang University · State Key Laboratory of Complex & Critical Software Environment, Beihang University
Does Adversarial Training Improve Generalization in Multi-View VLAs? Revealing and Mitigating View Collapse
Sep 27, 2026Futa Waseda, Shuhei Kurita, Isao EchizenAdversarial Training Multi-View Learning
National Institute of Informatics Tokyo, Japan
StyleAT: Defending Face Recognition Against Semantic Attacks
Sep 20, 2026Ben Shapira, Roi Cohen, Shang-Tse Chen +1Adversarial Training Adversarial Attacks
Tel Aviv University Tel Aviv, Israel · HPI / University of Potsdam Potsdam, Germany · National Taiwan University Taipei, Taiwan
A GAN-Based Framework for Robust DDoS Attack Detection
Sep 16, 2026Makram Chehayeb, Walid Fahs, Amina Rizk +2Adversarial Training Synthetic Data Augmentation
Islamic University of Lebanon, Faculty of Engineering, Lebanon · Lebanese University, Faculty of Sciences, Lebanon · Polytechnic Institute of Paris, T´el´ecom Paris, LTCI, France
Admissable: Training Reinforcement Learning Agents against Adversarial Missingness
Sep 14, 2026Paul Stahlhofen, Luca Hermes, Tim Kochs +2Adversarial Training Robust RL
Bielefeld University
Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings
Sep 14, 2026Allan Minh-Tam Nguyen, Sree Showrya Kotala, Stefan Banioi-Crijman +2Adversarial Training Aerial Robotics
Department of Advanced Computing Sciences, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, Netherlands
Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending
Sep 9, 2026Gijs A. F. Niewzwaag, Marijn G. S. Veth, Manuele Massei +1Adversarial Training Adversarial Attacks
University of Twente, Faculty of Behavioural, Management and Social Sciences, Department of High-Tech Business and Entrepreneurship, AE Enschede, 7500, Netherlands
Towards One-for-All Robustness Across a Continuum of Threat Levels
Sep 2, 2026Zhichao Hou, Xiaorui LiuAdversarial Robustness Adversarial Training
North Carolina State University
NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyAdversarial Training Electroencephalography
University of Massachusetts Amherst · United States
TRACE: Trajectory Aware Reasoning for Multi-Turn Adversarial Conversation Evaluation
Aug 16, 2026Md Messal Monem Miah, Adrita Anika, Zhiyuan Yu +1Adversarial Training LLM Jailbreak Attacks
Texas A&M University · Amazon
SPARED: Reasoning-Based AI-Generated Image Detection via Adversarially Edited Data
Aug 13, 2026Yicheng Bao, Xiahui Guo, Xuhong Wang +1Adversarial Training Adversarial Examples
1East China Normal University · 2Shanghai Artificial Intelligence Laboratory
Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
Aug 10, 2026Mengnan Zhao, Geyong Min, Lihe Zhang +2Adversarial Training Long-Tailed Classification
School of Computer Science, Anhui University, China · Department of Computer Science, University of Exeter, UK · School of Information and Communication Engineering, Dalian University of Technology, China +1
Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs
Aug 10, 2026Hongli Shen, Shaopeng Fu, Qinbo Zhang +2Adversarial Training Adversarial Attacks on LLMs
1King Abdullah University of Science and Technology · 2Stony Brook University
Decision-Focused Learning in Network Interdiction Games
Aug 10, 2026Luca M. Hartmann, Parinaz NaghizadehAdversarial Training Stackelberg Games
ECE Department, UC San Diego
Robust Context-Aware Detection of Malicious Instructions in Text
Aug 5, 2026Buzhao Liu, Xinhang Ma, Yevgeniy VorobeychikAdversarial Training Prompt Injection Defense
Washington University in St. Louis
Understanding Fault Tolerance of Adversarially Robust Pruned Models
Aug 4, 2026Manali Dangarikar, Cory MerkelAdversarial Training Neural Network Robustness
Brain Lab Rochester Institute of Technology Rochester, NY, USA
Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates
Jul 31, 2026Weiyi He, Yuping Lin, Jiliang Tang +1Adversarial Training Fine-Tuning
Michigan State University
The Noise Premium in Adversarial Training for Kernel Regression
Jul 30, 2026Yiling Xie, Xiaoming HuoAdversarial Training Kernel Regression
Department of Decision Analytics and Operations, City University of Hong Kong · H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology
Unifying Adversarially Robust Model Experts in Vision-Language Models
Jul 30, 2026Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2Adversarial Training VLM Robustness
College of Computing and Data Science, Nanyang Technological University, Singapore

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

Breaking Adversarial Transferability in Fine-Tuned Speech Recognition

Mojtaba Nafez, Aref Mousavi, Mohammad Ebrahim Mahdavi, Mobina Poulaei+2

Department of Computer Engineering Sharif University of Technology · Department of Computer Engineering University of Isfahan

Adversarial Transferability Automatic Speech Recognition Adversarial Training Black-Box Adversarial Attacks

Open paper AskPDF arXiv

Many organizations fine-tune publicly available pretrained Automatic Speech Recognition (ASR) models and deploy them in black-box settings, assuming limited access provides protection. We show this assumption is fragile: adversarial perturbations crafted on the public base model transfer effectively to fine-tuned target models, severely degrading performance and posing concerns for safety-critical applications. We propose TransferBreaker, a unified fine-tuning framework that suppresses adversarial transfer by integrating Base Adversarial Fine-Tuning, which restricts adversarial training to base-effective perturbations; Latent Jacobian Regularization, which enforces latent-space invariance by suppressing adversarially sensitive directions; and HybridGrad-AFT, which improves robustness against adaptive attacks by interpolating transferable perturbations from base and target gradients. We theoretically justify all components and evaluate TransferBreaker across three languages and four large ASR models, reducing adversarial WER from 92.6 to 27.8. Our code is publicly available at https://github.com/rohban-lab/TransferBreaker.

Momentum

Related topics

Latest papers 115