Coercing LLMs to do and reveal (almost) anything
Authors: Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein | Published: 2024-02-21
Literature Database
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
Authors: Mohammad Amaz Uddin, Iqbal H. Sarker | Published: 2024-02-21
Learning to Poison Large Language Models for Downstream Manipulation
Authors: Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Mohammad Amin Roshani, Prashant Khanduri, Douglas Zytko, Dongxiao Zhu | Published: 2024-02-21 | Updated: 2025-05-29
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
Authors: Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek | Published: 2024-02-21 | Updated: 2024-05-17
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
Authors: Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu | Published: 2024-02-20 | Updated: 2024-06-03
Revisiting Differentially Private Hyper-parameter Tuning
Authors: Zihang Xiang, Tianhao Wang, Chenglong Wang, Di Wang | Published: 2024-02-20 | Updated: 2024-06-04
IT Intrusion Detection Using Statistical Learning and Testbed Measurements
Authors: Xiaoxuan Wang, Rolf Stadler | Published: 2024-02-20
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
Authors: Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh | Published: 2024-02-20 | Updated: 2024-06-06
Prompt Stealing Attacks Against Large Language Models
Authors: Zeyang Sha, Yang Zhang | Published: 2024-02-20
Bounding Reconstruction Attack Success of Adversaries Without Data Priors
Authors: Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis | Published: 2024-02-20