Cover Image

Powerful Training-Free Membership Inference Against Autoregressive Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ilić, David, Stanojević, David, Cvejoski, Kostadin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Cryptography and Security I.2.7; K.4.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning the Signature of Memorization in Autoregressive Language Models
by: Ilić, David, et al.
Published: (2026)

How Few-shot Demonstrations Affect Prompt-based Defenses Against LLM Jailbreak Attacks
by: Wang, Yanshu, et al.
Published: (2026)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
by: Chen, Renmiao, et al.
Published: (2025)

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
by: Leonesi, Matteo, et al.
Published: (2026)

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
by: Blanco-Justicia, Alberto, et al.
Published: (2024)

Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management
by: Arora, Sunil, et al.
Published: (2025)

CAMP: Cumulative Agentic Masking and Pruning for Privacy Protection in Multi-Turn LLM Conversations
by: Panjwani, Aman
Published: (2026)

Whisper Leak: a side-channel attack on Large Language Models
by: McDonald, Geoff, et al.
Published: (2025)

Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale
by: Tsai, Elisa, et al.
Published: (2025)

BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
by: DeLeeuw, Caleb
Published: (2026)

AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
by: Gaikwad, Madhava
Published: (2025)

Replicating TEMPEST at Scale: Multi-Turn Adversarial Attacks Against Trillion-Parameter Frontier Models
by: Young, Richard
Published: (2025)

KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child Safety
by: Panchal, Viraj, et al.
Published: (2026)

Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories
by: Bercovich, Ivan, et al.
Published: (2026)

Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
by: Rosenblatt, Lucas, et al.
Published: (2026)

Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
by: Hossain, Ariyan, et al.
Published: (2025)

Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation
by: Hartmann, David, et al.
Published: (2026)

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection
by: Schappacher-Tilp, Gudrun, et al.
Published: (2026)

Qwerty AI: Explainable Automated Age Rating and Content Safety Assessment for Russian-Language Screenplays
by: Zmanovskii, Nikita
Published: (2025)

Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations
by: Wong, Qi Han
Published: (2026)

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection
by: Gelman, Haywood, et al.
Published: (2025)

APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
by: Zhu, Pengyun, et al.
Published: (2026)

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
by: Stewart, Ian, et al.
Published: (2024)

CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security
by: Wollman, Alex, et al.
Published: (2024)

The Cultural Gene of Large Language Models: A Study on the Impact of Cross-Corpus Training on Model Values and Biases
by: Fenech-Borg, Emanuel Z., et al.
Published: (2025)

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs
by: Bahar, Atmane Ayoub Mansour, et al.
Published: (2024)

Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs
by: Gelman, Haywood, et al.
Published: (2025)

Revealing Hidden Bias in AI: Lessons from Large Language Models
by: Beatty, Django, et al.
Published: (2024)

MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
by: Dékány, Csaba, et al.
Published: (2025)

Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI
by: Beltoft, Stine, et al.
Published: (2025)

Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
by: Yeste, Víctor, et al.
Published: (2026)

From Helpfulness to Toxic Proactivity: Diagnosing Behavioral Misalignment in LLM Agents
by: Wang, Xinyue, et al.
Published: (2026)

Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models
by: Crumrine, Garrett, et al.
Published: (2024)

From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection
by: Wang, Mo, et al.
Published: (2026)

Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk
by: Wu, Shuai, et al.
Published: (2026)

Growing a Tail: Increasing Output Diversity in Large Language Models
by: Shur-Ofry, Michal, et al.
Published: (2024)

Pro-AI Bias in Large Language Models
by: Trabelsi, Benaya, et al.
Published: (2026)

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

Leveraging Multi-Source Textural UGC for Neighbourhood Housing Quality Assessment: A GPT-Enhanced Framework
by: Hong, Qiyuan, et al.
Published: (2025)

AVEC: Bootstrapping Privacy for Local LLMs
by: Gaikwad, Madhava
Published: (2025)