On Evaluating The Performance of Watermarked Machine-Generated Texts
Under Adversarial Attacks

On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks

5 July 2024

Qi Li

Papers citing "On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks"

8 / 8 papers shown

Title
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text Tom Kempton Stuart Burrell Connor Cheverall DeLMO 95 0 0 26 Mar 2025
Publicly-Detectable Watermarking for Language Models Jaiden Fairoze Sanjam Garg Somesh Jha Saeed Mahloujifar Mohammad Mahmoody Mingyuan Wang WaLM 139 45 0 27 Oct 2023
On the Risk of Misinformation Pollution with Large Language Models Yikang Pan Liangming Pan Wenhu Chen Preslav Nakov Min-Yen Kan W. Wang DeLMO 190 105 0 23 May 2023
Watermarking Text Generated by Black-Box Language Models Xi Yang Kejiang Chen Weiming Zhang Chang-rui Liu Yuang Qi Jie Zhang Han Fang Neng H. Yu WaLM 95 53 0 14 May 2023
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 206 559 0 03 May 2023
MGTBench: Benchmarking Machine-Generated Text Detection Xinlei He Xinyue Shen Z. Chen Michael Backes Yang Zhang DeLMO 51 99 0 26 Mar 2023
Stealing the Decoding Algorithms of Language Models A. Naseh Kalpesh Krishna Mohit Iyyer Amir Houmansadr MLAU 50 20 0 08 Mar 2023
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,893 0 10 Jan 2017