Image de couverture de livre

Towards Universal and Black-Box Query-Response Only Attack on LLMs with QROA

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jawad, Hussein, Chenik, Yassine, Brunel, Nicolas J. -B.
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization
par: Jawad, Huseein, et autres
Publié: (2025)

ToolFlood: Beyond Selection -- Hiding Valid Tools from LLM Agents via Semantic Covering
par: Jawad, Hussein, et autres
Publié: (2026)

Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
par: Hartmann, David, et autres
Publié: (2026)

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
par: Mehrotra, Anay, et autres
Publié: (2023)

Predicting the Performance of Black-box LLMs through Follow-up Queries
par: Sam, Dylan, et autres
Publié: (2025)

PCS: Perceived Confidence Scoring of Black Box LLMs with Metamorphic Relations
par: Salimian, Sina, et autres
Publié: (2025)

SafePassage: High-Fidelity Information Extraction with Black Box LLMs
par: Barrow, Joe, et autres
Publié: (2025)

Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
par: Li, Changhao, et autres
Publié: (2024)

In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
par: Kroeger, Nicholas, et autres
Publié: (2023)

Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
par: Jeong, Hyejun, et autres
Publié: (2024)

How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
par: Asawa, Parth, et autres
Publié: (2025)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
par: Sawczyn, Albert, et autres
Publié: (2025)

Does It Make Sense to Explain a Black Box With Another Black Box?
par: Delaunay, Julien, et autres
Publié: (2024)

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
par: Xian, Ruicheng, et autres
Publié: (2025)

PAL: Proxy-Guided Black-Box Attack on Large Language Models
par: Sitawarin, Chawin, et autres
Publié: (2024)

Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
par: Kaneko, Masahiro, et autres
Publié: (2025)

Bounded Behavioral Indistinguishability for Black-Box LLM Distillation
par: Hasan, Munawar
Publié: (2026)

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
par: Shi, Yuhui, et autres
Publié: (2024)

Universal Response and Emergence of Induction in LLMs
par: Luick, Niclas
Publié: (2024)

Kov: Transferable and Naturalistic Black-Box LLM Attacks using Markov Decision Processes and Tree Search
par: Moss, Robert J.
Publié: (2024)

An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
par: Schoenegger, Loris, et autres
Publié: (2024)

Hierarchical Text Classification Using Black Box Large Language Models
par: Yoshimura, Kosuke, et autres
Publié: (2025)

SODA: Semi On-Policy Black-Box Distillation for Large Language Models
par: Chen, Xiwen, et autres
Publié: (2026)

Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention
par: Chang, Shuochen, et autres
Publié: (2026)

Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
par: Zhao, Xiaohan, et autres
Publié: (2026)

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
par: Siddiqui, S M Tahmid, et autres
Publié: (2026)

Deep Learning-based Method for Expressing Knowledge Boundary of Black-Box LLM
par: Sheng, Haotian, et autres
Publié: (2026)

Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
par: Mendu, Sai Krishna, et autres
Publié: (2025)

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
par: Wei, Zhepei, et autres
Publié: (2026)

A Watermark for Black-Box Language Models
par: Bahri, Dara, et autres
Publié: (2024)

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
par: Kharrat, Salma, et autres
Publié: (2024)

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
par: Doshi, Jai, et autres
Publié: (2024)

TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
par: Liu, Yilun, et autres
Publié: (2026)

Density estimation with LLMs: a geometric investigation of in-context learning trajectories
par: Liu, Toni J. B., et autres
Publié: (2024)

Emergent Response Planning in LLMs
par: Dong, Zhichen, et autres
Publié: (2025)

Training Deliberative Monitors for Black-Box Scheming Detection
par: Sinha, Aditya, et autres
Publié: (2026)

Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy
par: Taghanaki, Saeid Asgari, et autres
Publié: (2025)

Towards Modular LLMs by Building and Reusing a Library of LoRAs
par: Ostapenko, Oleksiy, et autres
Publié: (2024)

Topic Modelling Black Box Optimization
par: Akramov, Roman, et autres
Publié: (2025)

Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
par: Bouchard, Dylan, et autres
Publié: (2025)