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Numerical Composition of Differential Privacy

5 June 2021

Papers citing "Numerical Composition of Differential Privacy"

50 / 131 papers shown

Title
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning Roy Rinberg Ilia Shumailov Vikrant Singhal Rachel Cummings Nicolas Papernot 23 0 0 14 Jun 2025
What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? Erik Buchholz Natasha Fernandes David D. Nguyen A. Abuadbba Surya Nepal S. Kanhere 64 0 0 11 Jun 2025
Private Rate-Constrained Optimization with Applications to Fair Learning Mohammad Yaghini Tudor Cebere Michael Menart A. Bellet Nicolas Papernot 50 0 0 28 May 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein OffRL AAML 42 1 0 27 May 2025
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models Antti Koskela Mohamed Seif Andrea J. Goldsmith 47 1 0 09 May 2025
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation Samuel Maddock Shripad Gade Graham Cormode Will Bullock 96 1 0 15 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 102 0 0 14 Apr 2025
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 85 1 0 02 Apr 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 98 1 0 29 Mar 2025
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne 99 0 0 27 Mar 2025
An Optimization Framework for Differentially Private Sparse Fine-Tuning Mehdi Makni Kayhan Behdin Gabriel Afriat Zheng Xu Sergei Vassilvitskii Natalia Ponomareva Hussein Hazimeh Rahul Mazumder 117 0 0 17 Mar 2025
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 151 0 0 16 Mar 2025
PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications Hilal Asi Vitaly Feldman Hannah Keller G. Rothblum Kunal Talwar FedML 117 1 0 14 Mar 2025
$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Borja Balle Antti Honkela 104 0 0 13 Mar 2025
Data Efficient Subset Training with Differential Privacy Ninad Jayesh Gandhi Moparthy Venkata Subrahmanya Sri Harsha 100 0 0 09 Mar 2025
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses Hao Liang Wentao Zhang Xinlei He Kaishun He Hong Xing 106 0 0 25 Feb 2025
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang Changjiang Li Fenglong Ma Ting Wang 119 1 0 18 Feb 2025
Differentially Private Distribution Estimation Using Functional Approximation Ye Tao Anand D. Sarwate FedML 71 0 0 11 Jan 2025
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 111 0 0 22 Dec 2024
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 184 0 0 02 Dec 2024
Laplace Transform Interpretation of Differential Privacy Rishav Chourasia Uzair Javaid Biplap Sikdar 33 0 0 14 Nov 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling Lynn Chua Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 90 9 0 06 Nov 2024
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Hibiki Ito Antti Honkela 151 0 0 25 Oct 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 78 3 0 11 Oct 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains Krithika Ramesh Nupoor Gandhi Pulkit Madaan Lisa Bauer Charith Peris Anjalie Field SyDa 77 2 0 10 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 99 1 0 10 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 129 0 0 01 Oct 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem Weijie J. Su 82 1 0 14 Sep 2024
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement Jeremiah Birrell Reza Ebrahimi R. Behnia Jason L. Pacheco 101 0 0 19 Aug 2024
Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Yuhan Liu Sheng Wang Yi-xiao Liu Feifei Li Hong Chen 73 1 0 29 Jul 2024
Weights Shuffling for Improving DPSGD in Transformer-based Models Jungang Yang Zhe Ji Liyao Xiang 107 0 0 22 Jul 2024
Attack-Aware Noise Calibration for Differential Privacy B. Kulynych Juan Felipe Gomez G. Kaissis Flavio du Pin Calmon Carmela Troncoso 101 7 0 02 Jul 2024
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning Lynn Chua Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Daogao Liu Pasin Manurangsi Amer Sinha Chiyuan Zhang 104 14 0 20 Jun 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 63 0 0 14 Jun 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert 75 5 0 13 Jun 2024
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models Qin Yang Meisam Mohammady Han Wang Ali Payani Ashish Kundu Kai Shu Yan Yan Yuan Hong 59 0 0 29 May 2024
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition C. Lebeda Matthew Regehr Gautam Kamath Thomas Steinke 124 10 0 27 May 2024
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Tudor Cebere A. Bellet Nicolas Papernot 108 13 0 23 May 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 107 0 0 06 May 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 86 6 0 09 Apr 2024
How Private are DP-SGD Implementations? Lynn Chua Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 95 14 0 26 Mar 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 103 0 0 12 Mar 2024
Differentially Private Representation Learning via Image Captioning Tom Sander Yaodong Yu Maziar Sanjabi Alain Durmus Yi-An Ma Kamalika Chaudhuri Chuan Guo 95 4 0 04 Mar 2024
Shifted Interpolation for Differential Privacy Jinho Bok Weijie Su Jason M. Altschuler 125 9 0 01 Mar 2024
Pre-training Differentially Private Models with Limited Public Data Zhiqi Bu Xinwei Zhang Mingyi Hong Sheng Zha George Karypis 114 4 0 28 Feb 2024
Differentially Private Fair Binary Classifications Hrad Ghoukasian S. Asoodeh FaML 81 2 0 23 Feb 2024
Closed-Form Bounds for DP-SGD against Record-level Inference Giovanni Cherubin Boris Köpf Andrew Paverd Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin 89 2 0 22 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 118 25 0 21 Feb 2024
Differentially Private Training of Mixture of Experts Models Pierre Tholoniat Huseyin A. Inan Janardhan Kulkarni Robert Sim MoE 58 1 0 11 Feb 2024
Privacy Profiles for Private Selection Antti Koskela Rachel Redberg Yu-Xiang Wang 86 2 0 09 Feb 2024