Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation

10 July 2023

Papers citing "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation"

22 / 22 papers shown

Title
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement Zhexin Zhang Leqi Lei Junxiao Yang Xijie Huang Yida Lu ... Xianqi Lei C. Pan Lei Sha H. Wang Minlie Huang AAML 43 0 0 24 Feb 2025
RAG-Thief: Scalable Extraction of Private Data from Retrieval-Augmented Generation Applications with Agent-based Attacks Changyue Jiang Xudong Pan Geng Hong Chenfu Bao Min Yang SILM 72 7 0 21 Nov 2024
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng Hengquan Guo Jiawei Zhang Dongqing Zou Ziyu Shao Honghao Wei Xin Liu 34 0 0 25 Oct 2024
PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs K. K. Nakka Ahmed Frikha Ricardo Mendes Xue Jiang Xuebing Zhou 24 1 0 09 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 22 1 0 07 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 69 7 0 03 Oct 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding K. K. Nakka Ahmed Frikha Ricardo Mendes Xue Jiang Xuebing Zhou 24 7 0 03 Jul 2024
Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks Zhexin Zhang Junxiao Yang Pei Ke Shiyao Cui Chujie Zheng Hongning Wang Minlie Huang AAML MU 31 24 0 03 Jul 2024
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey Shang Wang Tianqing Zhu Bo Liu Ming Ding Xu Guo Dayong Ye Wanlei Zhou Philip S. Yu PILM 52 16 0 12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 38 16 0 08 Jun 2024
Exploring the Privacy Protection Capabilities of Chinese Large Language Models Yuqi Yang Xiaowen Huang Jitao Sang ELM PILM AILaw 30 1 0 27 Mar 2024
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model Jialun Cao Wuqi Zhang S. Cheung 14 15 0 25 Mar 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors Zhexin Zhang Yida Lu Jingyuan Ma Di Zhang Rui Li ... Hao-Lun Sun Lei Sha Zhifang Sui Hongning Wang Minlie Huang 18 26 0 26 Feb 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 24 463 0 04 Dec 2023
Unveiling the Implicit Toxicity in Large Language Models Jiaxin Wen Pei Ke Hao-Lun Sun Zhexin Zhang Chengfei Li Jinfeng Bai Minlie Huang 21 24 0 29 Nov 2023
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization Zhexin Zhang Junxiao Yang Pei Ke Fei Mi Hongning Wang Minlie Huang AAML 16 113 0 15 Nov 2023
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks Xiaoyi Chen Siyuan Tang Rui Zhu Shijun Yan Lei Jin Zihao Wang Liya Su Zhikun Zhang XiaoFeng Wang Haixu Tang AAML PILM 11 16 0 24 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 38 39 0 16 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 27 24 0 27 Sep 2023
SafetyBench: Evaluating the Safety of Large Language Models Zhexin Zhang Leqi Lei Lindong Wu Rui Sun Yongkang Huang Chong Long Xiao Liu Xuanyu Lei Jie Tang Minlie Huang LRM LM&MA ELM 16 87 0 13 Sep 2023
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020