Saved in:
| Main Authors: | Anand, Suraj, Getzen, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.02577 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Watermarking Language Models through Language Models
by: Dasgupta, Agnibh, et al.
Published: (2024)
by: Dasgupta, Agnibh, et al.
Published: (2024)
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
by: Zhang, Tianchen, et al.
Published: (2024)
by: Zhang, Tianchen, et al.
Published: (2024)
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)
by: Nikolic, Ivica, et al.
Published: (2025)
Towards the Anonymization of the Language Modeling
by: Boutet, Antoine, et al.
Published: (2025)
by: Boutet, Antoine, et al.
Published: (2025)
On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)
by: Gu, Chenchen, et al.
Published: (2023)
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Localizing Paragraph Memorization in Language Models
by: Stoehr, Niklas, et al.
Published: (2024)
by: Stoehr, Niklas, et al.
Published: (2024)
A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
Publicly-Detectable Watermarking for Language Models
by: Fairoze, Jaiden, et al.
Published: (2023)
by: Fairoze, Jaiden, et al.
Published: (2023)
Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)
by: Nemecek, Alexander, et al.
Published: (2024)
Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
A Watermark for Black-Box Language Models
by: Bahri, Dara, et al.
Published: (2024)
by: Bahri, Dara, et al.
Published: (2024)
Representation Bending for Large Language Model Safety
by: Yousefpour, Ashkan, et al.
Published: (2025)
by: Yousefpour, Ashkan, et al.
Published: (2025)
User Inference Attacks on Large Language Models
by: Kandpal, Nikhil, et al.
Published: (2023)
by: Kandpal, Nikhil, et al.
Published: (2023)
Auditing Prompt Caching in Language Model APIs
by: Gu, Chenchen, et al.
Published: (2025)
by: Gu, Chenchen, et al.
Published: (2025)
Robust Distortion-free Watermarks for Language Models
by: Kuditipudi, Rohith, et al.
Published: (2023)
by: Kuditipudi, Rohith, et al.
Published: (2023)
Learning to Poison Large Language Models for Downstream Manipulation
by: Zhou, Xiangyu, et al.
Published: (2024)
by: Zhou, Xiangyu, et al.
Published: (2024)
Detecting Pretraining Data from Large Language Models
by: Shi, Weijia, et al.
Published: (2023)
by: Shi, Weijia, et al.
Published: (2023)
Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)
by: Shetty, Anudeex
Published: (2025)
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024)
by: Jia, Xiaojun, et al.
Published: (2024)
An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)
by: Rossi, Sippo, et al.
Published: (2024)
Copyright-Protected Language Generation via Adaptive Model Fusion
by: Abad, Javier, et al.
Published: (2024)
by: Abad, Javier, et al.
Published: (2024)
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
by: García-Carrasco, Jorge, et al.
Published: (2024)
by: García-Carrasco, Jorge, et al.
Published: (2024)
Differentially Private Next-Token Prediction of Large Language Models
by: Flemings, James, et al.
Published: (2024)
by: Flemings, James, et al.
Published: (2024)
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
by: Liu, Frank Weizhen, et al.
Published: (2024)
by: Liu, Frank Weizhen, et al.
Published: (2024)
TFL: Targeted Bit-Flip Attack on Large Language Model
by: Guo, Jingkai, et al.
Published: (2026)
by: Guo, Jingkai, et al.
Published: (2026)
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)
by: Cui, Xinyue, et al.
Published: (2025)
VERA: Variational Inference Framework for Jailbreaking Large Language Models
by: Lochab, Anamika, et al.
Published: (2025)
by: Lochab, Anamika, et al.
Published: (2025)
Hijacking Large Language Models via Adversarial In-Context Learning
by: Zhou, Xiangyu, et al.
Published: (2023)
by: Zhou, Xiangyu, et al.
Published: (2023)
Privacy Preserving In-Context-Learning Framework for Large Language Models
by: Bhusal, Bishnu, et al.
Published: (2025)
by: Bhusal, Bishnu, et al.
Published: (2025)
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
by: Liu, Hongfu, et al.
Published: (2024)
by: Liu, Hongfu, et al.
Published: (2024)
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
Differentially Private Tabular Data Synthesis using Large Language Models
by: Tran, Toan V., et al.
Published: (2024)
by: Tran, Toan V., et al.
Published: (2024)
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)
by: Biswas, Sajib, et al.
Published: (2025)
SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models
by: Xue, Eric, et al.
Published: (2025)
by: Xue, Eric, et al.
Published: (2025)
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)
by: Wu, Yihan, et al.
Published: (2023)
Cross-Entropy Attacks to Language Models via Rare Event Simulation
by: Ni, Mingze, et al.
Published: (2025)
by: Ni, Mingze, et al.
Published: (2025)
Confidence Elicitation: A New Attack Vector for Large Language Models
by: Formento, Brian, et al.
Published: (2025)
by: Formento, Brian, et al.
Published: (2025)
Similar Items
-
Watermarking Language Models through Language Models
by: Dasgupta, Agnibh, et al.
Published: (2024) -
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
by: Zhang, Tianchen, et al.
Published: (2024) -
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025) -
Towards the Anonymization of the Language Modeling
by: Boutet, Antoine, et al.
Published: (2025) -
On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)