| 1 | Gym-Anything for Robotics: Scaling physical simulations with digital agents | Pranjal Aggarwal, Sean Welleck | cs.RO | 2026-10-29 |
| 2 | Training language models in simulation for psychiatric intake | Samuel Schmidgall, Tim Strother, Alex Bijamov +53 | cs.AI | 2026-10-29 |
| 3 | Rural Readiness: Domain Generalization with Adversarially Chosen Domains | Cynthia Dwork, Andisheh Ghasemi, Lunjia Hu | cs.LG | 2026-10-29 |
| #4 | Understanding and Mitigating Role Spoofing in LLMs | Ezra Edelman, Benjamin Edelman, Surbhi Goel +1 | cs.CR | 2026-10-29 |
| #5 | Textual Response-Aware Guidance for Zero-Shot Adversarial Robustness of Vision-Language Models | Yubo Cui, Xianchao Guan, Zheng Zhang | cs.CV | 2026-10-29 |
| #6 | Neighborhood Elites: Quality-Diversity Search for Uncertainty Quantification in Question Answering | Mesut Ceylan, Arda Baris Basaran, Elgar Fleisch +1 | cs.AI | 2026-10-29 |
| #7 | Localizing Concepts in Visual Autoregressive Models | Nanxiang Jiang, Yang Liu, Yuanhao Wang +1 | cs.CV | 2026-10-29 |
| #8 | LiDAR-SHIELD: A Fully Dockerized Adversarial Robustness Assessment Framework for LiDAR-Based 3D Perception Models | Alexandros Gkillas, Ioulia Kapsali, Christos Anagnostopoulos +1 | cs.CV | 2026-10-29 |
| #9 | Red-Teaming Large Language Models in Low-Resource African Languages: A Case Study of Yoruba and Nigerian Pidgin | Paula Chikaodinaka Anyanwu, Valdini Douglace Lemofouet, Blessing Ngozi Uzor +7 | cs.CL | 2026-10-29 |
| #10 | ROAD: Modern Adversarial Training for Simple One-Step Distillation at Scale | Xiaoou Li, Shan You, Tao Huang | cs.CV | 2026-10-29 |
| #11 | Sparse Fine-Tuning for Parameter-Efficient Adversarial Training | Zhaoxin Wang, Zihang Ding, Handing Wang | cs.LG | 2026-10-29 |
| #12 | ARBITRA: Robust Document-Level ATT&CK Extraction via Multi-Expert Argumentation | Youngjin Jin, Seungwon Shin | cs.CL | 2026-10-29 |
| #13 | Rethinking GFlowNet Training: Negative Reinforce Dynamics | Pedro Dall'Antonia, Daniel Csillag, Diego Mesquita | cs.LG | 2026-10-28 |
| #14 | FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models | Xiaogeng Liu, Xinyan Wang, Chaowei Xiao | cs.CR | 2026-10-28 |
| #15 | Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-Training | Albert Bou, Javier Valdes-Aleman, Jon M. Laurent +4 | cs.AI | 2026-10-28 |
| #16 | Adversarial Self-Distillation | Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Aleksandar Bojchevski | cs.LG | 2026-10-28 |
| #17 | Rethinking LLM Jailbreak Evaluation: Continuous Risk Landscapes Beyond Binary Outcomes | Yukai Zhou, Wenjie Wang | cs.LG | 2026-10-28 |
| #18 | Manifest-Assisted Retrieval in Artificial Intelligence Search: Evidence Gaps and a Security Evaluation | Gangzhen Qian, Kainan Zhou, Chuhong Xu +5 | cs.CR | 2026-10-28 |
| #19 | Nearly Minimax Optimal Regret for Adversarial Linear Bandits with Strong Corruptions | Qiwei Di, Quanquan Gu | cs.LG | 2026-10-28 |
| #20 | A Gradient based Adversarial Augmentation Framework for Mitigating Unlearnable Datasets | Long Dang, Satpal Sura, Kaiqi Xiong | cs.LG | 2026-10-28 |
| #21 | A Separation Principle for Adversarial Attacks and Defense of Graph Neural Networks | Farid Mafi, Saber Jafarpour, Mohammad Pirani | cs.LG | 2026-10-28 |
| #22 | The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks | Shuo Wen, Beixi Du, Edwin Meriaux +5 | cs.CV | 2026-10-28 |
| #23 | Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak | Xu Zhang, Ziqing Hu, Shuo Han +1 | cs.LG | 2026-10-28 |
| #24 | Where Can We Fool the Model's Mind? Response-Guided Semantic Probing and Adaptive Routing for Transferable Attacks on Black-Box MLLMs | Ahmed Abdelnaby, Mohamed Elmahallawy | cs.CV | 2026-10-27 |
| #25 | ALADDIN: Adversarial Latent Diffusion Distillation for One-Step Identity Swapping | Ivan Shchekotov, Timofei Gritsaev, Viacheslav Pirogov +1 | cs.CV | 2026-10-27 |
| #26 | Teach reality, not ethics: a drop-in continued-pretraining corpus installs coupled human-biosphere-AI welfare dispositions across model families | Trent R. Northen, Mingxun Wang | cs.CL | 2026-10-27 |
| #27 | Uncovering Why LLMs Fail: From Internal Mechanisms to Adversarial Reasoning Trajectories | Zirui Ding, Xinxin Fan, Hao Yuan +3 | cs.AI | 2026-10-27 |
| #28 | When Is a Relation Worth Trusting? Manipulation Costs, Exposure, and the Trust Trap in Multi-Relational Graph Learning | Vincess Dongmo, Astride Melvin Fokam Ninyim | cs.LG | 2026-10-27 |
| #29 | MRI-to-CT Translation of Spinal Images via Anatomy-Guided Pseudo-Pairing and Adversarial Diffusion | Eduardo Nieto, Ibai Genua, Davide Scorza +1 | cs.CV | 2026-10-27 |
| #30 | A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation | Wenwu Tang, Dong Wang, Yun Cheng +1 | cs.CV | 2026-10-27 |
| #31 | RePAIR: Inverting Backdoor Attacks in Semantic Segmentation | Arnold Brosch, Kira Maag | cs.CV | 2026-10-27 |
| #32 | Can LLMs Reliably Grade Olympiad Proofs? A Study of Mathematical Verification with LLMs | Azim Ospanov, Zijin Feng, Ding Ding +5 | cs.AI | 2026-10-27 |
| #33 | A Harness Reducing over-Defensive Writing in Agents by Isolating Objections | Xiaochen Chang | cs.CL | 2026-10-27 |
| #34 | ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression | Saim Rehman, Muhammad Shafique | cs.CV | 2026-10-26 |
| #35 | Spiking Neural Networks Are Harder to Steal: A Benchmark Study of Model Stealing Attacks | Ayana Moshruba, Maryam Parsa | cs.AI | 2026-10-26 |
| #36 | Three Worlds for the Price of a Logarithm: Baseline-Protected Best-of-Both-Worlds Combinatorial Semi-Bandits | Ting Hu, Luanda Cai, Emmanouil-Vasileios Vlatakis-Gkaragkounis | cs.LG | 2026-10-26 |
| #37 | I-HITL: Inalienable Human-in-the-Loop | Samuel Breckenridge, Dani Vilardell, Wenhao Wang +2 | cs.CR | 2026-10-26 |
| #38 | SEMA-Auto: Sighted and Efficient Multi-Turn Attack with Autonomy | Mingqian Feng, Xiaodong Liu, Weiwei Yang +7 | cs.CL | 2026-10-26 |
| #39 | Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation | Junyi Chen, Haiyu Zhang, Zhoujie Fu +2 | cs.CV | 2026-10-26 |
| #40 | Infinity Machine: a self-improving AI agent for research | Harish Santhanalakshmi Ganesan | cs.AI | 2026-10-26 |
| #41 | JANUS: Synthesizing Cross-Layer Defenses Against Web Deserialization Attacks | Ruozhao Yang, Minglang Li, Jiongchi Yu +2 | cs.CR | 2026-10-26 |
| #42 | MANTIS: Multi-Axis News Transformations for Instance-Wise Stress Testing and Worst-Case Training in Fake News Detection | Dexin Liu, Fan Yang, Zimu Wang +5 | cs.CL | 2026-10-26 |
| #43 | Intent-Preserving Adversarial User Simulation for Multi-Turn Agent Evaluation | Atri Vivek Sharma, Brian Formento, Alessio Lomuscio | cs.LG | 2026-10-26 |
| #44 | Enhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases | Hicham El Akhal, Abderrahim Waga, Aissa Ben Yahya +1 | cs.AI | 2026-10-26 |
| #45 | A JiT-Based Denoising Defense Method Against Adversarial Examples for Radio Signal Automatic Modulation Classification | Shiwei Liu, Linyuan Wang, Nuolin Sun +2 | cs.LG | 2026-10-26 |
| #46 | The Target Agent Is Its Own Best Critic but a Poor Proposer: Self-Improved Red Teaming | Mintong Kang, Stephen Rawls, Melissa Kazemi Rad +2 | cs.CR | 2026-10-26 |
| #47 | DimFlow: Bidirectional Grid-Expert Learning for Dynamic Gaussian Reconstruction | Gabriel Adineera, Jinoh Kim | cs.CV | 2026-10-26 |
| #48 | Attack logics, not outputs: Concept-based Property Attacks for Shortcut Elimination in Neural Networks | Raik Dankworth, Felix Mächtle, Thomas Eisenbarth +1 | cs.CR | 2026-10-26 |
| #49 | MMGNet: Multi-Modal 6-DoF Grasp Synthesis for Cluttered Scenes | Rui Cao, Jia-Hui Pan, Yichuan Li +4 | cs.RO | 2026-10-26 |
| #50 | Exploring perceptual straightness in learned visual representations | Anne Harrington, Vasha DuTell, Ayush Tewari +4 | cs.LG | 2026-10-26 |