Adversarial Training

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Adversarial Training.

Period ending 2026-09-14

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69 papers

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Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model
Sep 17, 2026Ali Aouf, Eric Laloy, Bart Rogiers +1Porous Media Adversarial Training
Recurrent Dynamic Range Extension
Sep 14, 2026Sebastian Dille, Keru Fu, S. Mahdi H. Miangoleh +1High Dynamic Range Adversarial Training
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 Credit Risk Prediction
Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning
Sep 8, 2026Mohammed-Yassine Habibi, Klea Ziu, Martin Takáč +1Adversarial Training Counterfactual Learning
MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuAdversarial Training Representation Learning
NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyElectroencephalography Spatial Super-Resolution Remote Physiological Measurement
Defensive Boosting for Online Probabilistic Forecasting
Aug 13, 2026Georgy Noarov, Aaron RothLearning-Augmented Algorithms Gradient Boosted Tree
Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
Aug 10, 2026Mengnan Zhao, Geyong Min, Lihe Zhang +2Adversarial Training Balanced Learning
Decision-Focused Learning in Network Interdiction Games
Aug 10, 2026Luca M. Hartmann, Parinaz NaghizadehLearning-Augmented Algorithms Shortest Paths
Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
Aug 6, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated Learning Byzantine Attacks
Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates
Jul 31, 2026Weiyi He, Yuping Lin, Jiliang Tang +1Language Model Evasion Attacks Adversarial Transferability
The Noise Premium in Adversarial Training for Kernel Regression
Jul 30, 2026Yiling Xie, Xiaoming HuoKernel Ridge Regression Adversarial Training
Detectors Learn the Wrong Thing: Shortcut-Resistant Adversarial Training Against Physically Realizable Attacks
Jul 23, 2026Yuanhao Huang, Yilong Ren, Jinlei Wang +3Adversarial Examples Detection Framework
Decafs: Disentangled Conditional adversarial Flows
Jul 21, 2026Anirudh jain, Sakshi Varshney, Samuel Kaski +1Generative Flow Networks High-Fidelity Conditional Generation
Certified Training for Convolutional Perturbations
Jul 20, 2026Benedikt Brückner, Alessio LomuscioAdversarial Training Motion Blur
Statistically Undetectable Backdoors in Deep Neural Networks
Jul 10, 2026Andrej Bogdanov, Alon Rosen, Neekon VafaBackdoor Attacks Adversarial Examples
When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks
Jul 10, 2026Brennan Bell, Inti Gabriel Mendoza Estrada, Andreas Trügler +1Entanglement Adversarial Training
Robustness Meets Uncertainty: Evidential Adversarial Training for Robust Selective Classification
Jul 3, 2026Nicolas Sournac, Ahmed Baha Ben Jmaa, Bertrand BraeckeveldtAdversarial Training Adversarial Transferability
Addressing Over-Refusal in LLMs with Competing Rewards
Jun 30, 2026Taeyoun Kim, Aviral KumarLarge Language Model Safety Refusals
Constrained Online Convex Optimization without Slater's Condition
Jun 30, 2026Kihyun Yu, Junehee Lee, Dabeen LeeConvex Optimization Stochastic Optimization
RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning
Jun 29, 2026Adithya Mohan, Daniel Kriegl, Torsten SchönJoint Reinforcement Learning Adversarial Training
Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs
Jun 23, 2026Dipankar SarkarFuzzing Tensor Programs
Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case
Jun 19, 2026David A. R. Robin, Rafael Pinot, Yann ChevaleyreAdversarial Training Adversarial Examples
Adversarial Bandit Optimization with Globally Bounded Perturbations to Convex Losses
Jun 18, 2026Zhuoyu Cheng, Kohei Hatano, Eiji TakimotoConvex Optimization Convex Sets
Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods
Jun 16, 2026Pratik Deshmukh, Kartik Arya, Vasili SavinNeural Network Verification Adversarial Training
An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification
Jun 12, 2026Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4Tomato Diseases Apple Tree Leaf Disease Segmentation Dataset
From Attacks to Curricula: Learnability-Guided Adversarial Training for Safe Autonomous Driving
Jun 12, 2026Yuewen Mei, Tong Nie, Jie Sun +3Autonomous Driving Adversarial Training
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization
Jun 10, 2026Xinhai Zou, Chang Zhao, Alireza Aghabagherloo +3Adversarial Transferability Adversarial Training
Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning
Jun 9, 2026Eitan Cohen, Idan Simai, Uri ShahamParameter-Efficient Fine-Tuning Adversarial Training
AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
Jun 8, 2026Jaber Jaber, Osama JaberGraphics Processing Unit Kernels LLM Inference Efficiency
A Robust Optimization Approach to Sparse Principal Component Analysis
Jun 2, 2026David Vävinggren, Francis Bach, André M. H. Teixeira +2Principal Component Analysis Sparsity
SORA: Free Second-Order Attacks in Fast Adversarial Training
May 30, 2026Mazdak Teymourian, Ramtin Moslemi, Farzan Rahmani +1Adversarial Transferability Adversarial Training
When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study
May 26, 2026Jun Yan, Weiquan Huang, Jiankai Zuo +4Muon Optimizer Adversarial Training
Adversarial Training for Robust Coverage Network under Worst-case Facility Losses
May 26, 2026Changhao Miao, Yuntian Zhang, Tongyu Wu +2Finite-Sample Coverage Guarantees Adversarial Training
AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems
May 23, 2026Petar RadanlievDiffie-Hellman Adversarial Training
Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
May 23, 2026Luoyu Chen, Weiqi Wang, Zhiyi Tian +5Novel Jailbreak Method Jailbreak Detection
One-Step Distillation of Discrete Diffusion Image Generators via Fixed-Point Iteration
May 20, 2026Chaoyang Wang, Yunhai TongDiscrete Diffusion Model Fixed-Point Iteration
POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection
May 18, 2026Suofei Zhang, Yaxuan Zheng, Haifeng HuTime-Series Anomaly Detection Anomaly Detection
When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective
May 15, 2026Yuan-dong Cao, Chi Chiu SO, Jun-Min Wang +1Conventional Physics-Informed Neural Networks Adversarial Training
You Only Landmark Once: Lightweight U-Net Face Super Resolution with YOLO-World Landmark Heatmaps
May 13, 2026Riccardo Carraro, Anna Briotto, Endi Hysa +2Diffusion-Based Super-Resolution Framework Upsampling
Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
May 13, 2026Lilin Zhang, Yimo Guo, Yue Li +2Adversarial Transferability Adversarial Training
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications
May 13, 2026Maxwell Standen, Junae Kim, Claudia SzaboAdversarial Training
Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning
May 12, 2026Joana Pasquali, Ramiro N. Barros, Arthur S. Bianchessi +7Low-Rank Adaptation Adapters Efficient Continual Learning
Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses
May 12, 2026Kihyun Yu, Seoungbin Bae, Dabeen LeePrimal-Dual Methods Markov Decision Processes
Implicit Neural Optimal Transport via Fixed-Point Optimization
May 11, 2026Yesom Park, Eric Gelphman, Stanley Osher +1Optimal Transport Neural Network Optimization
Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
May 9, 2026Lei Wang, Wenxiang Diao, Andrew Busch +2Video Anomaly Understanding Anomaly Detection
\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
May 8, 2026Hanzaleh Akbari Nodehi, Parsa Moradi, Soheil Mohajer +1Learning-Augmented Algorithms Adversarial Training
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion Attacks
May 7, 2026Guanmeng Xian, Ning Yang, Philip S. YuAdversarial Transferability Adversarial Training
Information Theoretic Adversarial Training of Large Language Models
May 6, 2026Yiwei Zhang, Jeremiah Birrell, Reza Ebrahimi +3Language Model Evasion Attacks Adversarial Transferability
Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation
May 6, 2026Zimu Gong, Brian Zhaoning Zhang, Chris Zhang +2Scenario Generation Autonomous Driving Simulation
Distributed Learning with Adversarial Gradient Perturbations
May 5, 2026Nawapon Sangsiri, Yufei TaoDistributional Learning Optimal Sample Complexity
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
May 4, 2026Wenjing Duan, Qi Zhou, Yuanfan LiMachine-Generated Text Detection Adversarial Examples
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
May 4, 2026Guanmeng Xian, Ning Yang, Philip S. YuAdversarial Transferability Adversarial Training
Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
May 4, 2026Wenwei Zhao, Xiaowen Li, Yao Liu +1Federated Learning Adversarial Training
Representation Fréchet Loss for Visual Generation
Apr 30, 2026Jiawei Yang, Zhengyang Geng, Xuan Ju +2Fréchet Inception Distance Visual Generation
Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
Apr 29, 2026Yanyun Wang, Qingqing Ye, Li Liu +2Adversarial Transferability Adversarial Training
Online combinatorial optimization with stochastic decision sets and adversarial losses
Apr 28, 2026Gergely Neu, Michal ValkoBandits Combinatorial Optimization
FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
Apr 22, 2026Chao Pan, Xin YaoAdversarial Transferability Adversarial Training
Benign Overfitting in Adversarial Training for Vision Transformers
Apr 21, 2026Jiaming Zhang, Meng Ding, Shaopeng Fu +2Self-Supervised Vision Transformers Adversarial Training
Duality for the Adversarial Total Variation
Apr 20, 2026Leon Bungert, Lucas SchmittAdversarial Training Duality

Sep 17, 2026 · cs.AIJ/K move · Enter open · S save

Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model

Ali Aouf, Eric Laloy, Bart Rogiers, Christophe De Vleeschouwer

Characterizing the physical properties of clay and cementitious materials matters across many fields, from materials science to geological waste disposal. Property simulation typically calls for 3D imaging, which is expensive, not always accessible, and technically limited for certain materials. Recent progress in deep generative models offers a way around this, reconstructing 3D volumes from the more easily acquired 2D images. Among GAN-based methods for 3D microstructure generation, SliceGAN has shown strong results for homogeneous isotropic and anisotropic systems. It struggles, however, to capture the finer detail of more complex heterogeneous microstructures, which motivates alternative generative frameworks. We introduce a hybrid approach that draws on the stability and generation quality of denoising diffusion models. Since no 3D ground truth is available, we replace the standard denoising loss with an adversarial loss, which yields a stable training process in our experiments. We show that the resulting model generates microstructures of varying complexity with minimal slice artefacts and close agreement with ground-truth phase fractions and structural descriptors.

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