Adversarial Training

Momentum

31 papers in the last four weeks, up 210% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 218

All topics
CardsList
  1. PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

    Oct 1, 2026Ahmed Sharshar, Asif Hanif, Naveen Kumar Kummari +2Multimodal Domain GeneralizationMedical Images

  2. Multi-Party Backchannel Prediction: a Diagnosis, a Benchmark, and a Ceiling

    Oct 1, 2026Mohammed Hafsati, Ahmed LoughzaliSpeakerChannel

  3. Rate-Optimal Algorithm for Adversarial Linear CMDPs

    Oct 1, 2026Kihyun Yu, Honghao Wei, Dabeen LeeMarkov Decision ProcessesPrimal-Dual Methods

  4. Probabilistic Adversarial Training

    Sep 30, 2026Andi Zhang, Xingyu Zhao, Siddartha KhastgirAdversarial TrainingKullback-Leibler Divergence

  5. Distributionally robust linear regression through the lens of adversarial training

    Sep 30, 2026Elis Stefansson, David Vävinggren, Antônio H. RibeiroDistributionally-Robust OptimizationRobust Optimization

  6. Uncertainty-Aware Consistency Distillation for Few-Step Video Generation

    Sep 30, 2026Lingyu Liu, Yaxiong Wang, Li Zhu +1Dataset DistillationAdversarial Training

  7. Anchoring Adversarial Trajectories to Data Manifolds: A Bilevel Transfer Optimization Framework

    Sep 30, 2026Yaohua Liu, Yifan Guo, Jiaxin GaoAdversarial TrainingBilevel Optimization

  8. Adversarial Training for Pixel Diffusion

    Sep 29, 2026Xin Lin, Zhifei Zhang, Yuqian Zhou +4Adversarial TrainingSupervised Finetuning

  9. DMA2^2: Pixel-space Distribution Matching with Adversarial and Anchor Losses

    Sep 29, 2026Xin Lin, Zhifei Zhang, Yuqian Zhou +6Latent Diffusion ModelDistribution Matching Distillation

  10. Mutually Adversarial Self-Training with Evolving Data for Unified Multimodal Models

    Sep 28, 2026Wentao Zhou, Weijie Gan, Jiayun WangMultimodal ModelAdversarial Training

  11. Improving scalable oversight with co-trained monitors

    Sep 28, 2026Joseph H. Rudoler, Kevin Tan, Benedict Tessler +2Scalable OversightProcess-Level Supervision

  12. Adversarial Consistency-Guided Representation Learning for Multi-view Clustering

    Sep 28, 2026Yuchen Lin, Kunpeng Xu, Ying Fang +1Multi-ViewClustering

  13. Can Attack Difficulty Be Characterized Before Optimization? A Study of Pre-optimization Difficulty in Person-Vanishing Attacks

    Sep 28, 2026Jingyao Xu, Dongdong Wang, Siyang LuBlack-Box Adversarial AttacksAdversarial Training

  14. AERIAL: Adversarial Evaluation of Robustness in Accuracy-Preserving Low-Precision EEG Decoders

    Sep 24, 2026Saim Rehman, Muhammad ShafiqueBrain-Computer InterfaceElectroencephalography Decoding

  15. LEAP-CBF: A Safety Filter for Uncertain Systems with Least-Effort Adversarial Potentials

    Sep 23, 2026Oswin So, Eric Yu, Chuchu FanSafety FiltersUncertain

  16. HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning

    Sep 22, 2026Han Chen, Hanchen Wang, Hongmei Chen +3MalwareAdversarial Training

  17. Exploring Solver-Level Warmstarting for Neural Network Verification

    Sep 22, 2026Annelot Bosman, Minghao Liu, Marta Kwiatkowska +2Neural Network VerificationNeural Solvers

  18. Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification

    Sep 20, 2026Kunyu Wang, Dehan Wang, Wenjun ChenAdversarial TrainingAdversarial Examples

  19. StyleAT: Defending Face Recognition Against Semantic Attacks

    Sep 20, 2026Ben Shapira, Roi Cohen, Shang-Tse Chen +1Black-Box Adversarial AttacksAdversarial Training

  20. Robust Workflow Generation via Adversarial Learning for Audio Deepfake Detection

    Sep 17, 2026Xiang Li, Pin-Yu Chen, Wenqi WeiEnvironmental Sound Deepfake DetectionAudio Deepfake Detection

  21. A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning

    Sep 14, 2026Amine Andam, Jamal Bentahar, Mustapha HedabouRegularizationAdversarial Training

  22. Recurrent Dynamic Range Extension

    Sep 14, 2026Sebastian Dille, Keru Fu, S. Mahdi H. Miangoleh +1High Dynamic RangeDeterministic Reconstruction

  23. Robust Policy Optimization via Adversarial Importance Sampling

    Sep 14, 2026Amine Andam, Jamal Bentahar, Mustapha HedabouOffline Reinforcement LearningAdversarial Training

  24. Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

    Sep 14, 2026Ziliang Hong, Hongyi Pan, Halil Ertugrul Aktas +7Cross-ModalityMagnetic Resonance Imaging

  25. What Makes Adversarial Examples Transfer Across Deepfake Detectors?

    Sep 9, 2026Rafael M. Mamede, Pedro C. Neto, Ana F. SequeiraDeepfake DetectionAdversarial Examples

  26. 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 TrainingPeer-To-Peer

  27. Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning

    Sep 8, 2026Mohammed-Yassine Habibi, Klea Ziu, Martin Takáč +1Adversarial TrainingComputer Vision

  28. An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data

    Sep 3, 2026Mahshid Rezakhani, Tolunay Seyfi, Fatemeh AfghahMultimodal Anomaly DetectionInternet Of Thing

  29. MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks

    Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuUnlearnable ExamplesGraph Representation Learning

  30. NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

    Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyElectroencephalographyPrivacy

  31. AIA2^{2}: Attribute-Agnostic Imbalance Augmentation for Subgroup Robustness

    Aug 31, 2026Hanshu Rao, Guangzeng Han, Xiaolei HuangSubgroupsClass Imbalance

  32. Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation

    Aug 26, 2026Pankaj Kumar, Subhankar MishraKnowledge GraphsEntities

  33. CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

    Aug 12, 2026Xue Yang, Rigui Zhou, ShiZheng Jia +7Variational Quantum CircuitsMulti-Reference Image Generation

  34. Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks

    Aug 12, 2026Yaohua Liu, Yifan Guo, Jiaxin GaoAdversarial TrainingBilevel Optimization

  35. Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training

    Aug 10, 2026Mengnan Zhao, Geyong Min, Lihe Zhang +2Adversarial TrainingClass Imbalance

  36. Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts

    Aug 10, 2026Kevin Thomas, Milosz Kasprzyk, Reuel C Igbokwe Onuigbo +5Misinformation DetectionAttacker Large Language Model

  37. Decision-Focused Learning in Network Interdiction Games

    Aug 10, 2026Luca M. Hartmann, Parinaz NaghizadehAdversarial Training

  38. No Unique Minimizer, No Problem: On the Consistency of Robust Neural Classifiers

    Aug 9, 2026Subhabrata Majumdar, Anand Deo, Partha Pratim Saha +1Empirical Risk MinimizationCross-Entropy Losses

  39. Weak Adversarial Neural Pushforward Method for Boltzmann Equation

    Aug 7, 2026Jenia Fardousi Koly, Andrew Qing He, Wei CaiBoltzmann DistributionsVariational Formulation

  40. Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning

    Aug 6, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated LearningBounded Adversary

  41. CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

    Aug 6, 2026Fanzhe Meng, Guoxin Chen, Jiale Zhao +6Agentic BenchmarksSynthetic Task

  42. Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing

    Aug 6, 2026Linfeng Du, Kehan Wu, Tong Zhang +1Human Activity RecognitionDoppler Velocity Log

  43. YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions

    Aug 5, 2026Jinling Jia, Jian Lu, Jone Yawl +1Yolo26Object Detection

  44. Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training

    Aug 3, 2026Yanliang Huang, Zhuocheng Zhang, Peng Xie +5Visuomotor PolicyReachability

  45. Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language Models

    Aug 3, 2026Xuanhui Lin, Junhao Dong, Mingrong Gong +3Vision-Language Foundation ModelsAdversarial Training

  46. The Noise Premium in Adversarial Training for Kernel Regression

    Jul 30, 2026Yiling Xie, Xiaoming HuoKernel Ridge RegressionAdversarial Training

  47. Unifying Adversarially Robust Model Experts in Vision-Language Models

    Jul 30, 2026Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2Adversarial TrainingExperts

  48. Improving the Robustness/Accuracy Tradeoff Against Adversarial Attacks Using Information Bottleneck Distillation Through Dual Teachers

    Jul 30, 2026Vincent Ryusuke Takahashi, Yoshinari Takeishi, Jun'ichi Takeuchi +1Adversarial TrainingTeacher-Student Distillation

  49. Device Invariance using Domain Adaptation on Acoustic Scene Classification

    Jul 28, 2026Abhishek dileep, Shubham Sharma, Padmanabhan RajanDomain AdaptationAdversarial Training

  50. Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training

    Jul 24, 2026Ali Tabaraei, Federico Simonetta, Stavros NtalampirasDepressionMultimodal Deep Learning

  51. Detectors Learn the Wrong Thing: Shortcut-Resistant Adversarial Training Against Physically Realizable Attacks

    Jul 23, 2026Yuanhao Huang, Yilong Ren, Jinlei Wang +3Unsupervised DetectionAdversarial Training