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Differentially Private Learning with Adaptive Clipping

Neural Information Processing Systems (NeurIPS), 2019

9 May 2019

Papers citing "Differentially Private Learning with Adaptive Clipping"

50 / 201 papers shown

Title
Understanding Private Learning From Feature Perspective Meng Ding Mingxi Lei Shaopeng Fu Shaowei Wang Di Wang Jinhui Xu MLT 144 0 0 22 Nov 2025
On Optimal Hyperparameters for Differentially Private Deep Transfer Learning Aki Rehn Linzh Zhao Mikko Heikkilä Antti Honkela 132 0 0 23 Oct 2025
Evaluation of Differential Privacy Mechanisms on Federated Learning Tejash Varsani FedML 78 0 0 09 Oct 2025
SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training Dorsa Soleymani Ali Dadsetan Frank Rudzicz 168 0 0 01 Oct 2025
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming Zhao Song Jianfei Xue Lichen Zhang 122 0 0 21 Sep 2025
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version) Wenxuan Bao Vincent Bindschaedler AAML 228 0 0 21 Aug 2025
DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion ModelsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2025 S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed SyDa 137 0 0 06 Aug 2025
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning Afshin Khadangi Amir Sartipi Xiaohui Wu Ramin Bahmani Gilbert Fridgen 116 0 0 30 Jul 2025
Collusion-Resilient Hierarchical Secure Aggregation with Heterogeneous Security Constraints Zhou Li Xiang Zhang Jiawen Lv Jihao Fan Haiqiang Chen Giuseppe Caire 110 4 0 19 Jul 2025
GeoClip: Geometry-Aware Clipping for Differentially Private SGD Atefeh Gilani Naima Tasnim Lalitha Sankar O. Kosut 156 1 0 06 Jun 2025
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping Linzh Zhao Aki Rehn Mikko A. Heikkilä Razane Tajeddine Antti Honkela 235 1 0 02 Jun 2025
Private Geometric Median in Nearly-Linear Time Syamantak Kumar Daogao Liu Kevin Tian Chutong Yang FedML 255 0 0 26 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 244 1 0 19 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AIACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 388 0 0 16 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility GuaranteeInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 260 0 0 10 May 2025
Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy Hyeju Shin Kyudan Jung Kyudan Jung Seongwon Yun 311 0 0 07 May 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 319 1 0 14 Apr 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution EstimationIEEE Transactions on Information Forensics and Security (TIFS), 2025 Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 312 3 0 29 Mar 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 204 0 0 27 Mar 2025
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data SynthesisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Chia-Yi Hsu Jia-You Chen Yu-Lin Tsai Chih-Hsun Lin Pin-Yu Chen Chia-Mu Yu Chun-ying Huang 219 0 0 20 Mar 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 458 9 0 06 Mar 2025
Towards hyperparameter-free optimization with differential privacyInternational Conference on Learning Representations (ICLR), 2025 Zhiqi Bu Ruixuan Liu 232 7 0 02 Mar 2025
Differentially Private Federated Learning With Time-Adaptive Privacy SpendingInternational Conference on Learning Representations (ICLR), 2025 Shahrzad Kiani Nupur Kulkarni Adam Dziedzic S. Draper Franziska Boenisch FedML 486 5 0 25 Feb 2025
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL Ehsan Hallaji R. Razavi-Far R. Razavi-Far AAML 180 0 0 23 Feb 2025
Smoothed Normalization for Efficient Distributed Private Optimization Egor Shulgin Sarit Khirirat Peter Richtárik FedML 364 1 0 20 Feb 2025
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 235 8 0 01 Dec 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 238 1 0 06 Nov 2024
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 213 0 0 05 Nov 2024
Masked Differential Privacy David Schneider Sina Sajadmanesh Vikash Sehwag Saquib Sarfraz Rainer Stiefelhagen Lingjuan Lyu Vivek Sharma 210 0 0 22 Oct 2024
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches Meifan Zhang Zhanhong Xie Lihua Yin FedML 198 1 0 08 Oct 2024
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise ReductionInternational Conference on Learning Representations (ICLR), 2024 Xinwei Zhang Zhiqi Bu Borja Balle Mingyi Hong Meisam Razaviyayn Vahab Mirrokni 325 5 0 04 Oct 2024
DP $^2$ -FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Zhenxiao Zhang Yuanxiong Guo Yanmin Gong FedML 213 1 0 20 Sep 2024
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative LearningNeural Networks (NN), 2024 Xiaowen Fu Bingxin Wang Xinzhou Guo Guoqing Liu Yang Xiang 195 2 0 20 Sep 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise ReductionNeural Information Processing Systems (NeurIPS), 2024 Xinwei Zhang Zhiqi Bu Mingyi Hong Meisam Razaviyayn 162 6 0 24 Aug 2024
Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis Herbert Woisetschläger Simon Mertel Christoph Krönke R. Mayer Hans-Arno Jacobsen FedML 248 4 0 11 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 269 15 0 09 Jul 2024
Releasing Large-Scale Human Mobility Histograms with Differential Privacy Christopher Bian Albert Cheu Yannis Guzman Marco Gruteser Peter Kairouz Ryan McKenna Edo Roth 138 1 0 03 Jul 2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation Mahtab Talaei Iman Izadi FedML 159 0 0 26 Jun 2024
Certification for Differentially Private Prediction in Gradient-Based Training Matthew Wicker Philip Sosnin Igor Shilov Adrianna Janik Mark N. Müller Yves-Alexandre de Montjoye Adrian Weller Calvin Tsay MU 291 1 0 19 Jun 2024
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning Yixuan Liu Li Xiong Yuhan Liu Yujie Gu Ruixuan Liu Hong Chen 318 4 0 04 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Yue Liu FedML 332 5 0 04 Jun 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Qiang Yan Danfeng Zhang Daniel Kifer 447 4 0 04 Jun 2024
Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails Haichao Sha Yang Cao Yong Liu Yuncheng Wu Ruixuan Liu Hong Chen 234 4 0 27 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 339 5 0 23 May 2024
The Future of Large Language Model Pre-training is Federated Lorenzo Sani Alexandru Iacob Zeyu Cao Bill Marino Yan Gao ... Wanru Zhao William F. Shen Preslav Aleksandrov Xinchi Qiu Nicholas D. Lane AI4CE 434 37 0 17 May 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy Wei-Ning Chen Berivan Isik Peter Kairouz Albert No Sewoong Oh Zheng Xu 295 3 0 02 May 2024
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024 Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 188 12 0 09 Apr 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 236 6 0 06 Apr 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 227 3 0 26 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang Luyi Xing AAML 292 8 0 05 Mar 2024