Teach LLMs to Phish: Stealing Private Information from Language Models

1 March 2024

Ashwinee Panda

Christopher A. Choquette-Choo

Papers citing "Teach LLMs to Phish: Stealing Private Information from Language Models"

20 / 20 papers shown

Title
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 108 0 0 04 May 2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Jin Xie Ruishi He Songze Li Xiaojun Jia Shouling Ji SILM AAML 66 0 0 29 Apr 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 62 5 0 09 Mar 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training Jaydeep Borkar Matthew Jagielski Katherine Lee Niloofar Mireshghallah David A. Smith Christopher A. Choquette-Choo PILM 78 1 0 24 Feb 2025
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy Zhenyuan Guo Yi Shi Wenlong Meng Chen Gong Chengkun Wei Wenzhi Chen MoMe 64 0 0 17 Feb 2025
Interacting Large Language Model Agents. Interpretable Models and Social Learning Adit Jain Vikram Krishnamurthy LLMAG 28 0 0 02 Nov 2024
ASPIRER: Bypassing System Prompts With Permutation-based Backdoors in LLMs Lu Yan Siyuan Cheng Xuan Chen Kaiyuan Zhang Guangyu Shen Zhuo Zhang Xiangyu Zhang AAML SILM 18 0 0 05 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 50 0 0 03 Oct 2024
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness Shixuan Ma Quan Wang 32 2 0 25 Sep 2024
LLM-PBE: Assessing Data Privacy in Large Language Models Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin ... Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He Dawn Song ELM PILM 36 12 0 23 Aug 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 40 43 0 09 Jul 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
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems Đorđe Klisura Anthony Rios AAML 24 1 0 20 Jun 2024
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 39 21 0 06 Mar 2023
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 590 0 14 Jul 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 178 154 0 26 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
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 248 1,986 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 1,808 0 14 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018