An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
Fuente:
arXiv
Saved in:
| Main Authors: | Karimov, Hikmat, Alekberli, Rahid Zahid |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Kerimov-Alekberli Model: An Information-Geometric Framework for Real-Time System Stability
by: Karimov, Hikmat, et al.
Published: (2026)
by: Karimov, Hikmat, et al.
Published: (2026)
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
by: Song, Da, et al.
Published: (2023)
by: Song, Da, et al.
Published: (2023)
Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024)
by: Xu, Jiashu, et al.
Published: (2024)
Personal Information Parroting in Language Models
by: Subramani, Nishant, et al.
Published: (2026)
by: Subramani, Nishant, et al.
Published: (2026)
Large Language Models in Cybersecurity: State-of-the-Art
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)
by: Zhu, Chaoyi, et al.
Published: (2024)
Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)
by: Bethany, Emet, et al.
Published: (2024)
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
by: Alhazbi, Saeif, et al.
Published: (2025)
by: Alhazbi, Saeif, et al.
Published: (2025)
The Resurgence of GCG Adversarial Attacks on Large Language Models
by: Tan, Yuting, et al.
Published: (2025)
by: Tan, Yuting, et al.
Published: (2025)
Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)
by: Yao, Jin, et al.
Published: (2024)
On the Role of Attention Heads in Large Language Model Safety
by: Zhou, Zhenhong, et al.
Published: (2024)
by: Zhou, Zhenhong, et al.
Published: (2024)
EnJa: Ensemble Jailbreak on Large Language Models
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
Interpreting the Repeated Token Phenomenon in Large Language Models
by: Yona, Itay, et al.
Published: (2025)
by: Yona, Itay, et al.
Published: (2025)
Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
by: Dang, Trung Cuong, et al.
Published: (2025)
by: Dang, Trung Cuong, et al.
Published: (2025)
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
by: Boreiko, Valentyn, et al.
Published: (2024)
by: Boreiko, Valentyn, et al.
Published: (2024)
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024)
by: Liu, Fuqiang, et al.
Published: (2024)
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
Probing the Robustness of Large Language Models Safety to Latent Perturbations
by: Gu, Tianle, et al.
Published: (2025)
by: Gu, Tianle, et al.
Published: (2025)
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
by: Golchin, Shahriar, et al.
Published: (2023)
by: Golchin, Shahriar, et al.
Published: (2023)
Detecting Training Data of Large Language Models via Expectation Maximization
by: Kim, Gyuwan, et al.
Published: (2024)
by: Kim, Gyuwan, et al.
Published: (2024)
SVIP: Towards Verifiable Inference of Open-source Large Language Models
by: Sun, Yifan, et al.
Published: (2024)
by: Sun, Yifan, et al.
Published: (2024)
PostMark: A Robust Blackbox Watermark for Large Language Models
by: Chang, Yapei, et al.
Published: (2024)
by: Chang, Yapei, et al.
Published: (2024)
Adversarial Text Purification: A Large Language Model Approach for Defense
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
by: Russinovich, Mark, et al.
Published: (2025)
by: Russinovich, Mark, et al.
Published: (2025)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
PAL: Proxy-Guided Black-Box Attack on Large Language Models
by: Sitawarin, Chawin, et al.
Published: (2024)
by: Sitawarin, Chawin, et al.
Published: (2024)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
Teach LLMs to Phish: Stealing Private Information from Language Models
by: Panda, Ashwinee, et al.
Published: (2024)
by: Panda, Ashwinee, et al.
Published: (2024)
RECAP: A Resource-Efficient Method for Adversarial Prompting in Large Language Models
by: Chugh, Rishit
Published: (2026)
by: Chugh, Rishit
Published: (2026)
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
by: Hua, Peichun, et al.
Published: (2025)
by: Hua, Peichun, et al.
Published: (2025)
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
by: Miranda, Michele, et al.
Published: (2024)
by: Miranda, Michele, et al.
Published: (2024)
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024)
by: Li, Lijun, et al.
Published: (2024)
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
by: Yuan, Zhuowen, et al.
Published: (2024)
by: Yuan, Zhuowen, et al.
Published: (2024)
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
by: Chen, Xiaoyi, et al.
Published: (2023)
by: Chen, Xiaoyi, et al.
Published: (2023)
LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models
by: Lin, Shi, et al.
Published: (2024)
by: Lin, Shi, et al.
Published: (2024)
Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
by: Fonseca, Joao, et al.
Published: (2025)
by: Fonseca, Joao, et al.
Published: (2025)
Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation
by: Huang, Tiansheng, et al.
Published: (2025)
by: Huang, Tiansheng, et al.
Published: (2025)
Similar Items
-
The Kerimov-Alekberli Model: An Information-Geometric Framework for Real-Time System Stability
by: Karimov, Hikmat, et al.
Published: (2026) -
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024) -
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
by: Song, Da, et al.
Published: (2023) -
Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024) -
Personal Information Parroting in Language Models
by: Subramani, Nishant, et al.
Published: (2026)