Saved in:
| Main Authors: | Xian, Guanmeng, Yang, Ning, Yu, Philip S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.06238 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
by: Xian, Guanmeng, et al.
Published: (2026)
by: Xian, Guanmeng, et al.
Published: (2026)
Untargeted Adversarial Attack on Knowledge Graph Embeddings
by: Zhao, Tianzhe, et al.
Published: (2024)
by: Zhao, Tianzhe, et al.
Published: (2024)
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)
by: Zhou, Yuyang, et al.
Published: (2023)
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)
by: Panda, Deepak Kumar, et al.
Published: (2025)
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
by: Zhong, Xuyang, et al.
Published: (2025)
by: Zhong, Xuyang, et al.
Published: (2025)
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
by: elShehaby, Mohamed, et al.
Published: (2024)
by: elShehaby, Mohamed, et al.
Published: (2024)
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
by: Kapoor, Shashank, et al.
Published: (2025)
by: Kapoor, Shashank, et al.
Published: (2025)
Adversarial Training for Defense Against Label Poisoning Attacks
by: Bal, Melis Ilayda, et al.
Published: (2025)
by: Bal, Melis Ilayda, et al.
Published: (2025)
Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models
by: Winninger, Thomas, et al.
Published: (2025)
by: Winninger, Thomas, et al.
Published: (2025)
ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
by: Chen, Zhaorun, et al.
Published: (2025)
by: Chen, Zhaorun, et al.
Published: (2025)
Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications
by: Zhang, Lu, et al.
Published: (2025)
by: Zhang, Lu, et al.
Published: (2025)
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution
by: Vu, Kiana, et al.
Published: (2024)
by: Vu, Kiana, et al.
Published: (2024)
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
by: Hackett, William, et al.
Published: (2025)
by: Hackett, William, et al.
Published: (2025)
Similarity-based Label Inference Attack against Training and Inference of Split Learning
by: Liu, Junlin, et al.
Published: (2022)
by: Liu, Junlin, et al.
Published: (2022)
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
by: Schott, Lucas, et al.
Published: (2024)
by: Schott, Lucas, et al.
Published: (2024)
rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
by: Jana, Suryasis, et al.
Published: (2026)
by: Jana, Suryasis, et al.
Published: (2026)
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)
by: Cui, Canyixing, et al.
Published: (2026)
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
by: Liu, Haoyu, et al.
Published: (2026)
by: Liu, Haoyu, et al.
Published: (2026)
Adversarial Attacks on Hyperbolic Networks
by: van Spengler, Max, et al.
Published: (2024)
by: van Spengler, Max, et al.
Published: (2024)
Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs
by: Yuan, Leitao, et al.
Published: (2026)
by: Yuan, Leitao, et al.
Published: (2026)
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
by: Ardito, Carmelo, et al.
Published: (2023)
by: Ardito, Carmelo, et al.
Published: (2023)
Adversarial Training for Process Reward Models
by: Juneja, Gurusha, et al.
Published: (2025)
by: Juneja, Gurusha, et al.
Published: (2025)
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)
by: Wei, Xingxing, et al.
Published: (2024)
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
by: Yamamura, Keiichiro, et al.
Published: (2024)
by: Yamamura, Keiichiro, et al.
Published: (2024)
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
by: Lin, Fudong, et al.
Published: (2025)
by: Lin, Fudong, et al.
Published: (2025)
Annealing Self-Distillation Rectification Improves Adversarial Training
by: Wu, Yu-Yu, et al.
Published: (2023)
by: Wu, Yu-Yu, et al.
Published: (2023)
Phrase-Level Adversarial Training for Mitigating Bias in Neural Network-based Automatic Essay Scoring
by: Philip, Haddad, et al.
Published: (2024)
by: Philip, Haddad, et al.
Published: (2024)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
by: Ranganath, Suraj, et al.
Published: (2026)
by: Ranganath, Suraj, et al.
Published: (2026)
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation
by: Zhao, Ke, et al.
Published: (2024)
by: Zhao, Ke, et al.
Published: (2024)
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks
by: Lyu, Xingyu, et al.
Published: (2025)
by: Lyu, Xingyu, et al.
Published: (2025)
How Worst-Case Are Adversarial Attacks? Linking Adversarial and Perturbation Robustness
by: Rossolini, Giulio
Published: (2026)
by: Rossolini, Giulio
Published: (2026)
ROKA: Robust Knowledge Unlearning against Adversaries
by: Shin, Jinmyeong, et al.
Published: (2026)
by: Shin, Jinmyeong, et al.
Published: (2026)
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
by: Zhang, Jiaming, et al.
Published: (2024)
by: Zhang, Jiaming, et al.
Published: (2024)
How to Protect Models against Adversarial Unlearning?
by: Jasiorski, Patryk, et al.
Published: (2025)
by: Jasiorski, Patryk, et al.
Published: (2025)
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
TabAttackBench: A Benchmark for Adversarial Attacks on Tabular Data
by: He, Zhipeng, et al.
Published: (2025)
by: He, Zhipeng, et al.
Published: (2025)
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
Similar Items
-
Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
by: Xian, Guanmeng, et al.
Published: (2026) -
Untargeted Adversarial Attack on Knowledge Graph Embeddings
by: Zhao, Tianzhe, et al.
Published: (2024) -
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023) -
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025) -
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
by: Zhong, Xuyang, et al.
Published: (2025)