GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Luo, Haozheng, Qiu, Chenghao, Wang, Yimin, Wu, Shang, Yu, Jiahao, Pan, Zhenyu, Mao, Weian, Fang, Haoyang, Xu, Hao, Liu, Han, Wang, Binghui, Chen, Yan |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
par: Zhang, Jiahao, et autres
Publié: (2026)
par: Zhang, Jiahao, et autres
Publié: (2026)
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
par: Jin, Zhibo, et autres
Publié: (2024)
par: Jin, Zhibo, et autres
Publié: (2024)
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
par: Hong, Hanbin, et autres
Publié: (2023)
par: Hong, Hanbin, et autres
Publié: (2023)
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
par: Kim, Hyo Seo, et autres
Publié: (2026)
par: Kim, Hyo Seo, et autres
Publié: (2026)
SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
par: Xu, Bingxin, et autres
Publié: (2026)
par: Xu, Bingxin, et autres
Publié: (2026)
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
par: Noorbakhsh, Sayedeh Leila, et autres
Publié: (2024)
par: Noorbakhsh, Sayedeh Leila, et autres
Publié: (2024)
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
par: Wang, Yujing, et autres
Publié: (2024)
par: Wang, Yujing, et autres
Publié: (2024)
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
par: Yang, Yuxin, et autres
Publié: (2024)
par: Yang, Yuxin, et autres
Publié: (2024)
Backdoor Attacks on Discrete Graph Diffusion Models
par: Wang, Jiawen, et autres
Publié: (2025)
par: Wang, Jiawen, et autres
Publié: (2025)
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
par: Li, Jiate, et autres
Publié: (2025)
par: Li, Jiate, et autres
Publié: (2025)
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
par: Li, Jiate, et autres
Publié: (2025)
par: Li, Jiate, et autres
Publié: (2025)
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
par: Xue, Jing, et autres
Publié: (2025)
par: Xue, Jing, et autres
Publié: (2025)
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
par: Li, Jiate, et autres
Publié: (2024)
par: Li, Jiate, et autres
Publié: (2024)
Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models
par: Dai, Haoran, et autres
Publié: (2025)
par: Dai, Haoran, et autres
Publié: (2025)
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
par: Yang, Yuxin, et autres
Publié: (2024)
par: Yang, Yuxin, et autres
Publié: (2024)
Selective Masking Adversarial Attack on Automatic Speech Recognition Systems
par: Fang, Zheng, et autres
Publié: (2025)
par: Fang, Zheng, et autres
Publié: (2025)
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
par: Li, Jiate, et autres
Publié: (2025)
par: Li, Jiate, et autres
Publié: (2025)
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
par: Zou, Wei, et autres
Publié: (2024)
par: Zou, Wei, et autres
Publié: (2024)
SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models
par: Zhan, Huixin, et autres
Publié: (2025)
par: Zhan, Huixin, et autres
Publié: (2025)
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
par: Chen, Jing, et autres
Publié: (2025)
par: Chen, Jing, et autres
Publié: (2025)
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
par: Zhang, Xinyu, et autres
Publié: (2023)
par: Zhang, Xinyu, et autres
Publié: (2023)
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
par: Gu, Ruizhe, et autres
Publié: (2020)
par: Gu, Ruizhe, et autres
Publié: (2020)
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
par: Yang, Yulong, et autres
Publié: (2023)
par: Yang, Yulong, et autres
Publié: (2023)
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
par: Wang, Zifan, et autres
Publié: (2024)
par: Wang, Zifan, et autres
Publié: (2024)
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
par: Li, Ruoyu, et autres
Publié: (2024)
par: Li, Ruoyu, et autres
Publié: (2024)
Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations
par: Liu, Jun, et autres
Publié: (2026)
par: Liu, Jun, et autres
Publié: (2026)
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks
par: Chen, Jing, et autres
Publié: (2025)
par: Chen, Jing, et autres
Publié: (2025)
Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels
par: Du, Chenghao, et autres
Publié: (2025)
par: Du, Chenghao, et autres
Publié: (2025)
Membership Inference Attacks and Defenses in Federated Learning: A Survey
par: Bai, Li, et autres
Publié: (2024)
par: Bai, Li, et autres
Publié: (2024)
Large Language Model Adversarial Landscape Through the Lens of Attack Objectives
par: Wang, Nan, et autres
Publié: (2025)
par: Wang, Nan, et autres
Publié: (2025)
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
par: Kocal, Cagla Ipek, et autres
Publié: (2025)
par: Kocal, Cagla Ipek, et autres
Publié: (2025)
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
par: Wang, Zhiwei, et autres
Publié: (2024)
par: Wang, Zhiwei, et autres
Publié: (2024)
Invisible Adversaries: A Systematic Study of Session Manipulation Attacks on VPNs
par: Yang, Yuxiang, et autres
Publié: (2026)
par: Yang, Yuxiang, et autres
Publié: (2026)
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
par: Yang, Yuxin, et autres
Publié: (2024)
par: Yang, Yuxin, et autres
Publié: (2024)
A Practical Trigger-Free Backdoor Attack on Neural Networks
par: Wang, Jiahao, et autres
Publié: (2024)
par: Wang, Jiahao, et autres
Publié: (2024)
SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
par: Jiang, Hanrui, et autres
Publié: (2025)
par: Jiang, Hanrui, et autres
Publié: (2025)
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks
par: Skovorodnikov, Heorhii, et autres
Publié: (2024)
par: Skovorodnikov, Heorhii, et autres
Publié: (2024)
Learning Robust and Privacy-Preserving Representations via Information Theory
par: Zhang, Binghui, et autres
Publié: (2024)
par: Zhang, Binghui, et autres
Publié: (2024)
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
par: Zhang, Hangsheng, et autres
Publié: (2024)
par: Zhang, Hangsheng, et autres
Publié: (2024)
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
par: Naderloui, Nima, et autres
Publié: (2025)
par: Naderloui, Nima, et autres
Publié: (2025)
Documents similaires
-
Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
par: Zhang, Jiahao, et autres
Publié: (2026) -
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
par: Jin, Zhibo, et autres
Publié: (2024) -
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
par: Hong, Hanbin, et autres
Publié: (2023) -
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
par: Kim, Hyo Seo, et autres
Publié: (2026) -
SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
par: Xu, Bingxin, et autres
Publié: (2026)