Dashed Line Defense: Plug-And-Play Defense Against Adaptive Score-Based Query Attacks
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Fu, Yanzhang, Guo, Zizheng, Luo, Jizhou |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
par: elShehaby, Mohamed, et autres
Publié: (2026)
par: elShehaby, Mohamed, et autres
Publié: (2026)
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
par: Zhan, Qiusi, et autres
Publié: (2025)
par: Zhan, Qiusi, et autres
Publié: (2025)
Attacks and Defenses Against LLM Fingerprinting
par: Kurian, Kevin, et autres
Publié: (2025)
par: Kurian, Kevin, et autres
Publié: (2025)
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
par: Zhang, Yuhao, et autres
Publié: (2023)
par: Zhang, Yuhao, et autres
Publié: (2023)
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
par: Nasr, Milad, et autres
Publié: (2025)
par: Nasr, Milad, et autres
Publié: (2025)
Optimal Defenses Against Gradient Reconstruction Attacks
par: Chen, Yuxiao, et autres
Publié: (2024)
par: Chen, Yuxiao, et autres
Publié: (2024)
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
par: Luo, Xinjian, et autres
Publié: (2020)
par: Luo, Xinjian, et autres
Publié: (2020)
SecureLearn -- An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning Attacks
par: Paracha, Anum, et autres
Publié: (2025)
par: Paracha, Anum, et autres
Publié: (2025)
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
par: Hossain, S M Asif, et autres
Publié: (2025)
par: Hossain, S M Asif, et autres
Publié: (2025)
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
par: Tafreshian, Benyamin, et autres
Publié: (2025)
par: Tafreshian, Benyamin, et autres
Publié: (2025)
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
par: Arazzi, Marco, et autres
Publié: (2024)
par: Arazzi, Marco, et autres
Publié: (2024)
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
par: Brown, Hannah, et autres
Publié: (2024)
par: Brown, Hannah, et autres
Publié: (2024)
ADAGE: Active Defenses Against GNN Extraction
par: Xu, Jing, et autres
Publié: (2025)
par: Xu, Jing, et autres
Publié: (2025)
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
par: Munir, Md. Shirajum, et autres
Publié: (2024)
par: Munir, Md. Shirajum, et autres
Publié: (2024)
Synthetic Tabular Data: Methods, Attacks and Defenses
par: Cormode, Graham, et autres
Publié: (2025)
par: Cormode, Graham, et autres
Publié: (2025)
A Taxonomy of Attacks and Defenses in Split Learning
par: Shabbir, Aqsa, et autres
Publié: (2025)
par: Shabbir, Aqsa, et autres
Publié: (2025)
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
par: Luo, Rui, et autres
Publié: (2024)
par: Luo, Rui, et autres
Publié: (2024)
Attack and Defense of Deep Learning Models in the Field of Web Attack Detection
par: Shi, Lijia, et autres
Publié: (2024)
par: Shi, Lijia, et autres
Publié: (2024)
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
par: Liu, Sheng, et autres
Publié: (2024)
par: Liu, Sheng, et autres
Publié: (2024)
Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models
par: Kulkarni, Prashant, et autres
Publié: (2025)
par: Kulkarni, Prashant, et autres
Publié: (2025)
SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
par: Luo, Chenxiang, et autres
Publié: (2025)
par: Luo, Chenxiang, et autres
Publié: (2025)
Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement
par: Kim, Heegyu, et autres
Publié: (2024)
par: Kim, Heegyu, et autres
Publié: (2024)
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
par: Zeng, Yifan, et autres
Publié: (2024)
par: Zeng, Yifan, et autres
Publié: (2024)
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
par: Zhang, Yiwei, et autres
Publié: (2024)
par: Zhang, Yiwei, et autres
Publié: (2024)
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
par: Panebianco, Francesco, et autres
Publié: (2025)
par: Panebianco, Francesco, et autres
Publié: (2025)
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
par: Kuo, Kevin, et autres
Publié: (2026)
par: Kuo, Kevin, et autres
Publié: (2026)
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
par: Zhang, Kaiyuan, et autres
Publié: (2025)
par: Zhang, Kaiyuan, et autres
Publié: (2025)
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
par: Han, Sungwon, et autres
Publié: (2024)
par: Han, Sungwon, et autres
Publié: (2024)
Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
par: AL-Zahrani, Basil Abdullah
Publié: (2025)
par: AL-Zahrani, Basil Abdullah
Publié: (2025)
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
par: Vo, Viet Quoc, et autres
Publié: (2024)
par: Vo, Viet Quoc, et autres
Publié: (2024)
Data-free Defense of Black Box Models Against Adversarial Attacks
par: Nayak, Gaurav Kumar, et autres
Publié: (2022)
par: Nayak, Gaurav Kumar, et autres
Publié: (2022)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
par: Yi, Sibo, et autres
Publié: (2024)
par: Yi, Sibo, et autres
Publié: (2024)
Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
par: Hayder, Yasmine
Publié: (2026)
par: Hayder, Yasmine
Publié: (2026)
TRYLOCK: Defense-in-Depth Against LLM Jailbreaks via Layered Preference and Representation Engineering
par: Thornton, Scott
Publié: (2026)
par: Thornton, Scott
Publié: (2026)
One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries
par: Zloczower, Itay, et autres
Publié: (2026)
par: Zloczower, Itay, et autres
Publié: (2026)
Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses
par: Yu, Yunrui, et autres
Publié: (2026)
par: Yu, Yunrui, et autres
Publié: (2026)
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
par: Yeh, Cheng-Han, et autres
Publié: (2024)
par: Yeh, Cheng-Han, et autres
Publié: (2024)
Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning
par: Hasan, Syed Mhamudul, et autres
Publié: (2025)
par: Hasan, Syed Mhamudul, et autres
Publié: (2025)
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)
Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning
par: Jin, Zhiyong, et autres
Publié: (2025)
par: Jin, Zhiyong, et autres
Publié: (2025)
Documents similaires
-
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
par: elShehaby, Mohamed, et autres
Publié: (2026) -
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
par: Zhan, Qiusi, et autres
Publié: (2025) -
Attacks and Defenses Against LLM Fingerprinting
par: Kurian, Kevin, et autres
Publié: (2025) -
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
par: Zhang, Yuhao, et autres
Publié: (2023) -
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
par: Nasr, Milad, et autres
Publié: (2025)