Beyond Memorization: Violating Privacy Via Inference with Large Language Models

11 October 2023

Martin Vechev

Papers citing "Beyond Memorization: Violating Privacy Via Inference with Large Language Models"

49 / 49 papers shown

Title
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 57 0 0 04 May 2025
Collaborative LLM Numerical Reasoning with Local Data Protection Min Zhang Yuzhe Lu Yun Zhou Panpan Xu Lin Lee Cheong Chang-Tien Lu Haozhu Wang 50 0 0 01 Apr 2025
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation Rafiqul Rabin Sean McGregor Nick Judd AAML PILM 57 0 0 27 Mar 2025
Probabilistic Reasoning with LLMs for k-anonymity Estimation Jonathan Zheng Sauvik Das Alan Ritter Wei-ping Xu 55 0 0 12 Mar 2025
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents Arman Zharmagambetov Chuan Guo Ivan Evtimov Maya Pavlova Ruslan Salakhutdinov Kamalika Chaudhuri 61 1 0 12 Mar 2025
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning Yijiang River Dong Tiancheng Hu Yinhong Liu Ahmet Üstün Nigel Collier 78 1 0 26 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Eric Aubinais Philippe Formont Pablo Piantanida Elisabeth Gassiat 38 0 0 10 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 45 0 0 10 Feb 2025
AIDBench: A benchmark for evaluating the authorship identification capability of large language models Zichen Wen Dadi Guo Huishuai Zhang 67 0 0 20 Nov 2024
The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare Souren Pashangpour Goldie Nejat LM&MA 42 7 0 05 Nov 2024
"Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction Shuning Zhang Lyumanshan Ye Xin Yi Jingyu Tang Bo Shui Haobin Xing Pengfei Liu Hewu Li 32 3 0 19 Oct 2024
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs Yujun Zhou Jingdong Yang Kehan Guo Pin-Yu Chen Tian Gao ... Tian Gao Werner Geyer Nuno Moniz Nitesh V Chawla Xiangliang Zhang 33 4 0 18 Oct 2024
Data Defenses Against Large Language Models William Agnew Harry H. Jiang Cella Sum Maarten Sap Sauvik Das AAML 18 0 0 17 Oct 2024
AERO: Softmax-Only LLMs for Efficient Private Inference N. Jha Brandon Reagen 22 1 0 16 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 90 3 2 10 Oct 2024
A Closer Look at Machine Unlearning for Large Language Models Xiaojian Yuan Tianyu Pang Chao Du Kejiang Chen Weiming Zhang Min-Bin Lin MU 36 5 0 10 Oct 2024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act Philipp Guldimann Alexander Spiridonov Robin Staab Nikola Jovanović Mark Vero ... Mislav Balunović Nikola Konstantinov Pavol Bielik Petar Tsankov Martin Vechev ELM 40 4 0 10 Oct 2024
Bots can Snoop: Uncovering and Mitigating Privacy Risks of Bots in Group Chats Kai-Hsiang Chou Yi-Min Lin Yi-An Wang Jonathan Weiping Li T. Kim H. Hsiao 27 0 0 09 Oct 2024
Mitigating Downstream Model Risks via Model Provenance Keyu Wang Abdullah Norozi Iranzad Scott Schaffter Doina Precup Jonathan Lebensold 13 1 0 03 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 42 0 0 03 Oct 2024
Recent Advances in Attack and Defense Approaches of Large Language Models Jing Cui Yishi Xu Zhewei Huang Shuchang Zhou Jianbin Jiao Junge Zhang PILM AAML 47 1 0 05 Sep 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action Yijia Shao Tianshi Li Weiyan Shi Yanchen Liu Diyi Yang PILM 44 13 0 29 Aug 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 25 1 0 23 Aug 2024
Limits to Predicting Online Speech Using Large Language Models Mina Remeli Moritz Hardt Robert C. Williamson 18 0 0 08 Jul 2024
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization Ahmed Frikha Nassim Walha K. K. Nakka Ricardo Mendes Xue Jiang Xuebing Zhou 12 2 0 03 Jul 2024
Measuring memorization in RLHF for code completion Aneesh Pappu Billy Porter Ilia Shumailov Jamie Hayes 26 0 0 17 Jun 2024
A Synthetic Dataset for Personal Attribute Inference Hanna Yukhymenko Robin Staab Mark Vero Martin Vechev SyDa 44 4 0 11 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
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models Meftahul Ferdaus Mahdi Abdelguerfi Elias Ioup Kendall N. Niles Ken Pathak Steve Sloan 32 10 0 01 Jun 2024
Privacy-Aware Visual Language Models Laurens Samson Nimrod Barazani S. Ghebreab Yukiyasu Asano PILM VLM 29 1 0 27 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Zheng Zhu Xiaofeng Wang Wangbo Zhao Chen Min Nianchen Deng ... Dawei Zhao Liang Xiao Jian-jun Zhao Jiwen Lu Guan Huang VGen LM&Ro 76 35 0 06 May 2024
From Persona to Personalization: A Survey on Role-Playing Language Agents Jiangjie Chen Xintao Wang Rui Xu Siyu Yuan Yikai Zhang ... Caiyu Hu Siye Wu Scott Ren Ziquan Fu Yanghua Xiao 50 72 0 28 Apr 2024
Protecting Your LLMs with Information Bottleneck Zichuan Liu Zefan Wang Linjie Xu Jinyu Wang Lei Song Tianchun Wang Chunlin Chen Wei Cheng Jiang Bian KELM AAML 43 15 0 22 Apr 2024
Private Attribute Inference from Images with Vision-Language Models Batuhan Tömekçe Mark Vero Robin Staab Martin Vechev VLM PILM 46 6 0 16 Apr 2024
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4 Bishwas Mandal G. Amariucai Shuangqing Wei 16 1 0 07 Apr 2024
Can Language Models Recognize Convincing Arguments? Paula Rescala Manoel Horta Ribeiro Tiancheng Hu Robert West LRM 24 15 0 31 Mar 2024
Exploring the Privacy Protection Capabilities of Chinese Large Language Models Yuqi Yang Xiaowen Huang Jitao Sang ELM PILM AILaw 28 1 0 27 Mar 2024
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish Masahiro Kaneko Timothy Baldwin PILM 21 3 0 24 Mar 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 22 7 0 18 Mar 2024
Can Language Models Act as Knowledge Bases at Scale? Qiyuan He Yizhong Wang Wenya Wang KELM LRM 16 7 0 22 Feb 2024
Large Language Models are Advanced Anonymizers Robin Staab Mark Vero Mislav Balunović Martin Vechev 28 10 0 21 Feb 2024
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation Zihao Tang Zheqi Lv Shengyu Zhang Fei Wu Kun Kuang 41 5 0 18 Feb 2024
Whispers in the Machine: Confidentiality in LLM-integrated Systems Jonathan Evertz Merlin Chlosta Lea Schonherr Thorsten Eisenhofer 69 15 0 10 Feb 2024
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance Rui-Jie Yew Lucy Qin Suresh Venkatasubramanian 14 3 0 09 Feb 2024
Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models Jiawei Zhao Kejiang Chen Xianjian Yuan Yuang Qi Weiming Zhang Neng H. Yu 53 4 0 15 Dec 2023
Can LLMs Follow Simple Rules? Norman Mu Sarah Chen Zifan Wang Sizhe Chen David Karamardian Lulwa Aljeraisy Basel Alomair Dan Hendrycks David A. Wagner ALM 16 26 0 06 Nov 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 16 19 0 24 Oct 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 203 2,232 0 22 Mar 2023
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