Misusing Tools in Large Language Models With Visual Adversarial Examples
Authors: Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes | Published: 2023-10-04
LLM性能評価
Jailbreaker in Jail: Moving Target Defense for Large Language Models
Authors: Bocheng Chen, Advait Paliwal, Qiben Yan | Published: 2023-10-03
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
Authors: Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu | Published: 2023-10-02
Watch Your Language: Investigating Content Moderation with Large Language Models
Authors: Deepak Kumar, Yousef AbuHashem, Zakir Durumeric | Published: 2023-09-25 | Updated: 2024-01-17
Can LLM-Generated Misinformation Be Detected?
Authors: Canyu Chen, Kai Shu | Published: 2023-09-25 | Updated: 2024-04-23
Recovering from Privacy-Preserving Masking with Large Language Models
Authors: Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli | Published: 2023-09-12 | Updated: 2023-12-14
Evaluating Superhuman Models with Consistency Checks
Authors: Lukas Fluri, Daniel Paleka, Florian Tramèr | Published: 2023-06-16 | Updated: 2023-10-19
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Authors: Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo | Published: 2023-06-15
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Authors: Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick | Published: 2023-05-29 | Updated: 2023-08-07
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
Authors: Xuanqi Liu, Zhuotao Liu | Published: 2023-05-28 | Updated: 2023-12-15