Title
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 181 5 0 18 Mar 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data Shenglai Zeng Jiankun Zhang Pengfei He J. Ren Tianqi Zheng Hanqing Lu Han Xu Hui Liu Yue Xing Jiliang Tang 175 12 0 21 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 132 4 0 08 Feb 2025
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen Haoze Sun Tianpeng Li Fan Yang Hao Liang Keer Lu Tengjiao Wang Wentao Zhang Guosheng Dong Weipeng Chen LRM 91 6 0 16 Oct 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 94 3 0 03 Sep 2024
Hot PATE: Private Aggregation of Distributions for Diverse Task Edith Cohen Benjamin Cohen-Wang Xin Lyu Jelani Nelson Tamas Sarlos Uri Stemmer 89 4 0 04 Dec 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Wei Ping Weixin Chen Hengzhi Pei Chulin Xie Mintong Kang ... Zinan Lin Yuk-Kit Cheng Sanmi Koyejo D. Song Yue Liu 93 414 0 20 Jun 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 332 4,298 0 09 Jun 2023
Fine-Tuning Language Models with Just Forward Passes Sadhika Malladi Tianyu Gao Eshaan Nichani Alexandru Damian Jason D. Lee Danqi Chen Sanjeev Arora 110 196 0 27 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 108 43 0 24 May 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 104 229 0 01 Feb 2023
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping Jiyan He Xuechen Li Da Yu Huishuai Zhang Janardhan Kulkarni Y. Lee A. Backurs Nenghai Yu Jiang Bian 88 48 0 03 Dec 2022
Differentially Private Language Models for Secure Data Sharing Justus Mattern Zhijing Jin Benjamin Weggenmann Bernhard Schoelkopf Mrinmaya Sachan SyDa 57 49 0 25 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 188 3,885 0 26 Jul 2022
The Limits of Word Level Differential Privacy Justus Mattern Benjamin Weggenmann Florian Kerschbaum 36 50 0 02 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 871 12,916 0 04 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 410 15,486 0 20 Dec 2021
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 66 694 0 07 Dec 2021
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 227 366 0 13 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 184 3,743 0 03 Sep 2021
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling Vitaly Feldman Audra McMillan Kunal Talwar FedML 64 161 0 23 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 486 1,917 0 14 Dec 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 615 24,431 0 26 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 97 861 0 15 Apr 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 68 406 0 16 May 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 201 6,121 0 01 Jul 2016