Cover Image

DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Woszczyk, Dominika, Demetriou, Soteris
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ClaritySpeech: Dementia Obfuscation in Speech
by: Woszczyk, Dominika, et al.
Published: (2025)

Prosody-Driven Privacy-Preserving Dementia Detection
by: Woszczyk, Dominika, et al.
Published: (2024)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)

Adversarial 3D Virtual Patches using Integrated Gradients
by: You, Chengzeng, et al.
Published: (2024)

Username Squatting on Online Social Networks: A Study on X
by: Lepipas, Anastasios, et al.
Published: (2024)

Understanding Dementia Speech Alignment with Diffusion-Based Image Generation
by: Mansi, et al.
Published: (2025)

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
by: Li, Haoran, et al.
Published: (2024)

LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
by: Li, Ting, et al.
Published: (2025)

MBTSAD: Mitigating Backdoors in Language Models Based on Token Splitting and Attention Distillation
by: Ding, Yidong, et al.
Published: (2025)

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
by: Liang, Zi, et al.
Published: (2024)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2024)

Copyright Traps for Large Language Models
by: Meeus, Matthieu, et al.
Published: (2024)

Obfuscation as Instruction Decorrelation
by: Ajorian, Ali, et al.
Published: (2024)

DistillGuard: Evaluating Defenses Against LLM Knowledge Distillation
by: Jiang, Bo
Published: (2026)

Large Language Models as Carriers of Hidden Messages
by: Hoscilowicz, Jakub, et al.
Published: (2024)

Yet Another Watermark for Large Language Models
by: Bao, Siyuan, et al.
Published: (2025)

Token-Level Privacy in Large Language Models
by: Harel, Re'em, et al.
Published: (2025)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
by: Song, Yiping, et al.
Published: (2024)

Lateral Phishing With Large Language Models: A Large Organization Comparative Study
by: Bethany, Mazal, et al.
Published: (2024)

Privacy-Preserving Instructions for Aligning Large Language Models
by: Yu, Da, et al.
Published: (2024)

Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)

Majority Bit-Aware Watermarking For Large Language Models
by: Xu, Jiahao, et al.
Published: (2025)

garak: A Framework for Security Probing Large Language Models
by: Derczynski, Leon, et al.
Published: (2024)

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
by: Li, Haoran, et al.
Published: (2024)

Multi-Agent Collaboration in Incident Response with Large Language Models
by: Liu, Zefang
Published: (2024)

Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)

Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
by: Zhang, Ruisi, et al.
Published: (2024)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
by: Li, Haoran, et al.
Published: (2023)

Resource Consumption Red-Teaming for Large Vision-Language Models
by: Gao, Haoran, et al.
Published: (2025)

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
by: Mirbagheri, Mohammad Reza, et al.
Published: (2025)

InfoFlood: Jailbreaking Large Language Models with Information Overload
by: Yadav, Advait, et al.
Published: (2025)

Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models
by: Fieblinger, Romy, et al.
Published: (2024)

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
by: Yi, Biao, et al.
Published: (2025)

ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
by: Chopra, Shivansh, et al.
Published: (2024)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
by: Dong, Yiting, et al.
Published: (2024)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
by: Yuan, Xiaohan, et al.
Published: (2024)

Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
by: Marinelli, Ryan, et al.
Published: (2025)

Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
by: Hasan, S M Rakib, et al.
Published: (2024)

Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment
by: Li, Jie, et al.
Published: (2024)

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
by: Li, Ziqiang, et al.
Published: (2024)