Can LLM-Generated Misinformation Be Detected?
Authors: Canyu Chen, Kai Shu | Published: 2023-09-25 | Updated: 2024-04-23
LLM性能評価
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
The Curse of Recursion: Training on Generated Data Makes Models Forget
Authors: Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson | Published: 2023-05-27 | Updated: 2024-04-14
On Evaluating Adversarial Robustness of Large Vision-Language Models
Authors: Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin | Published: 2023-05-26 | Updated: 2023-10-29
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
Authors: Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang | Published: 2023-05-22 | Updated: 2024-02-09