Title
Synopsis: Secure and private trend inference from encrypted semantic embeddings Madelyne Xiao Palak Jain Micha Gorelick Sarah Scheffler 314 0 0 29 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 51 0 0 09 May 2025
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data Henrik Nolte Michèle Finck Kristof Meding AILaw PILM 150 1 0 03 Mar 2025
Advancing privacy in learning analytics using differential privacy Qinyi Liu Ronas Shakya Mohammad Khalil Jelena Jovanovic 76 1 0 03 Jan 2025
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Qinyi Liu Oscar Blessed Deho Farhad Vadiee Mohammad Khalil Srecko Joksimovic George Siemens SyDa 100 6 0 03 Jan 2025
SoK: Usability Studies in Differential Privacy Onyinye Dibia Brad Stenger Steven Baldasty Mako Bates Ivoline C. Ngong Yuanyuan Feng Yuanyuan Feng Joseph P. Near 116 0 0 22 Dec 2024
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems Liudas Panavas Joshua Snoke Erika Tyagi C. Bowen Aaron R. Williams 111 0 0 16 Dec 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem Weijie J. Su 82 1 0 14 Sep 2024
Enabling Humanitarian Applications with Targeted Differential Privacy Nitin Kohli J. Blumenstock 61 0 0 24 Aug 2024
Practical Considerations for Differential Privacy Kareem Amin Alex Kulesza Sergei Vassilvitskii 53 5 0 14 Aug 2024
The Complexities of Differential Privacy for Survey Data Jorg Drechsler James Bailie 81 3 0 13 Aug 2024
Centering Policy and Practice: Research Gaps around Usable Differential Privacy Rachel Cummings Jayshree Sarathy 94 7 0 17 Jun 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David Evans MIACV MIALM AAML 85 1 0 17 Jun 2024
"Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity William H. Press 29 0 0 07 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 101 7 0 03 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Yue Liu Dawn Song Peter Henderson Prateek Mittal AAML 112 12 0 29 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 282 22 0 28 Feb 2024
Do Membership Inference Attacks Work on Large Language Models? Michael Duan Anshuman Suri Niloofar Mireshghallah Sewon Min Weijia Shi Luke Zettlemoyer Yulia Tsvetkov Yejin Choi David Evans Hanna Hajishirzi MIALM 130 100 0 12 Feb 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 81 2 0 05 Jan 2024
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 76 0 0 29 Oct 2023
Detecting Pretraining Data from Large Language Models Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 122 201 0 25 Oct 2023
Private Matrix Factorization with Public Item Features Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan 77 3 0 17 Sep 2023
A unifying framework for differentially private quantum algorithms Armando Angrisani Mina Doosti E. Kashefi FedML 58 9 0 10 Jul 2023
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise L. Arthur Jason W Costello Jonathan Hardy Will O'Brien J. Rea Gareth Rees Georgi Ganev 54 2 0 09 Jul 2023
Privacy Guarantees for Personal Mobility Data in Humanitarian Response Nitin Kohli Emily L. Aiken J. Blumenstock 55 7 0 15 Jun 2023
Privacy Implications of Retrieval-Based Language Models Yangsibo Huang Samyak Gupta Zexuan Zhong Keqin Li Danqi Chen RALM 61 30 0 24 May 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 156 183 0 01 Mar 2023
Quantum Local Differential Privacy and Quantum Statistical Query Model Armando Angrisani E. Kashefi 78 12 0 07 Mar 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 260 372 0 13 Oct 2021