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1908.07643
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AdaCliP: Adaptive Clipping for Private SGD
20 August 2019
Venkatadheeraj Pichapati
A. Suresh
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
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Papers citing
"AdaCliP: Adaptive Clipping for Private SGD"
50 / 78 papers shown
ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
Omer Tariq
Muhammad Bilal
Muneeb Ul Hassan
Dongsoo Han
Jon Crowcroft
105
0
0
22 Oct 2025
Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation
Qifeng Tan
Shusen Yang
Xuebin Ren
Yikai Zhang
128
0
0
04 Sep 2025
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Wenxuan Bao
Vincent Bindschaedler
AAML
240
0
0
21 Aug 2025
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
Afshin Khadangi
Amir Sartipi
Xiaohui Wu
Ramin Bahmani
Gilbert Fridgen
124
0
0
30 Jul 2025
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
Atefeh Gilani
Naima Tasnim
Lalitha Sankar
O. Kosut
180
1
0
06 Jun 2025
Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy
Hyeju Shin
Kyudan Jung
Kyudan Jung
Seongwon Yun
343
0
0
07 May 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Chengkun Wei
Weixian Li
Chen Gong
Wenzhi Chen
324
3
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
223
1
0
27 Mar 2025
Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition
Allassan Tchangmena A Nken
Susan Mckeever
Peter Corcoran
Ihsan Ullah
PICV
386
0
0
03 Mar 2025
Differentially Private Federated Learning With Time-Adaptive Privacy Spending
International Conference on Learning Representations (ICLR), 2025
Shahrzad Kiani
Nupur Kulkarni
Adam Dziedzic
S. Draper
Franziska Boenisch
FedML
535
5
0
25 Feb 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
IEEE International Conference on Data Engineering (ICDE), 2025
Sen Zhang
Qingqing Ye
Haibo Hu
218
1
0
08 Jan 2025
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight
Tao Huang
Qingyu Huang
Xin Shi
Jiayang Meng
Guolong Zheng
Xu Yang
Xun Yi
236
0
0
05 Nov 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack
Hao Li
Zheng Li
Siyuan Wu
Chengrui Hu
Yutong Ye
Min Zhang
Dengguo Feng
Yang Zhang
196
25
0
21 Jul 2024
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
Yixuan Liu
Li Xiong
Yuhan Liu
Yujie Gu
Ruixuan Liu
Hong Chen
326
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
250
4
0
27 May 2024
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
Haichao Sha
Ruixuan Liu
Yi-xiao Liu
Hong Chen
263
2
0
06 Dec 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Proceedings of the VLDB Endowment (PVLDB), 2023
Jie Fu
Qingqing Ye
Haibo Hu
Zhili Chen
Lulu Wang
Kuncan Wang
Xun Ran
280
25
0
23 Nov 2023
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Aymeric Dieuleveut
Paul Mangold
A. Bellet
311
1
0
29 Aug 2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Ce Feng
Nuo Xu
Wujie Wen
Parv Venkitasubramaniam
Caiwen Ding
188
5
0
25 Jul 2023
Differentially Private Video Activity Recognition
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zelun Luo
Yuliang Zou
Yijin Yang
Zane Durante
De-An Huang
Zhiding Yu
Chaowei Xiao
L. Fei-Fei
Anima Anandkumar
PICV
252
7
0
27 Jun 2023
PLAN: Variance-Aware Private Mean Estimation
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Martin Aumüller
C. Lebeda
Boel Nelson
Rasmus Pagh
FedML
252
5
0
14 Jun 2023
Fast Optimal Locally Private Mean Estimation via Random Projections
Neural Information Processing Systems (NeurIPS), 2023
Hilal Asi
Vitaly Feldman
Jelani Nelson
Huy Le Nguyen
Kunal Talwar
FedML
251
15
0
07 Jun 2023
Toward Understanding Why Adam Converges Faster Than SGD for Transformers
Yan Pan
Yuanzhi Li
280
52
0
31 May 2023
Securing Distributed SGD against Gradient Leakage Threats
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Wenqi Wei
Ling Liu
Jingya Zhou
Ka-Ho Chow
Yanzhao Wu
FedML
172
28
0
10 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Conference on Computer and Communications Security (CCS), 2023
Chengkun Wei
Ming-Hui Zhao
Zhikun Zhang
Min Chen
Wenlong Meng
Bodong Liu
Yuan-shuo Fan
Wenzhi Chen
373
17
0
10 May 2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
The Web Conference (WWW), 2023
Yuke Hu
Wei Liang
Ruofan Wu
Kai Y. Xiao
Weiqiang Wang
Xiaochen Li
Jinfei Liu
Zhan Qin
172
17
0
06 Apr 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
Ibrahim Issa
A. Esposito
Michael C. Gastpar
225
3
0
28 Feb 2023
U-Clip: On-Average Unbiased Stochastic Gradient Clipping
Bryn Elesedy
Marcus Hutter
163
2
0
06 Feb 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
International Conference on Machine Learning (ICML), 2022
Jianguo Huang
Huiping Zhuang
Renchunzi Xie
Lei Feng
Gang Niu
Bo An
Shouqing Yang
VLM
NoLa
458
46
0
08 Dec 2022
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
International Conference on Learning Representations (ICLR), 2022
Jiyan He
Xuechen Li
Da Yu
Huishuai Zhang
Janardhan Kulkarni
Y. Lee
A. Backurs
Nenghai Yu
Jiang Bian
348
57
0
03 Dec 2022
Differentially Private Learning with Per-Sample Adaptive Clipping
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tianyu Xia
Shuheng Shen
Su Yao
Xinyi Fu
Ke Xu
Xiaolong Xu
Xingbo Fu
499
27
0
01 Dec 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise
International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022
Jie Fu
Zhili Chen
Xiao Han
FedML
203
42
0
29 Nov 2022
Differentially Private Image Classification from Features
Harsh Mehta
Walid Krichene
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
239
10
0
24 Nov 2022
Private Ad Modeling with DP-SGD
Carson E. Denison
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Krishnagiri Narra
Amer Sinha
A. Varadarajan
Chiyuan Zhang
367
15
0
21 Nov 2022
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Conference on Computer and Communications Security (CCS), 2022
Jianxin Wei
Ergute Bao
X. Xiao
Yifan Yang
380
29
0
18 Oct 2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
ACM Conference on Recommender Systems (RecSys), 2022
Huazheng Wang
Dave Zhao
Hongning Wang
211
6
0
30 Aug 2022
(Nearly) Optimal Private Linear Regression via Adaptive Clipping
Prateeksha Varshney
Abhradeep Thakurta
Prateek Jain
184
9
0
11 Jul 2022
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization
Xiaodong Yang
Huishuai Zhang
Wei Chen
Tie-Yan Liu
209
41
0
27 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2022
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
299
69
0
16 Jun 2022
Disparate Impact in Differential Privacy from Gradient Misalignment
International Conference on Learning Representations (ICLR), 2022
Maria S. Esipova
Atiyeh Ashari Ghomi
Yaqiao Luo
Jesse C. Cresswell
283
41
0
15 Jun 2022
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
Neural Information Processing Systems (NeurIPS), 2022
Zhiqi Bu
Yu Wang
Sheng Zha
George Karypis
590
96
0
14 Jun 2022
Differentially Private Covariance Revisited
Neural Information Processing Systems (NeurIPS), 2022
Wei Dong
Yuting Liang
K. Yi
FedML
314
19
0
28 May 2022
Large Scale Transfer Learning for Differentially Private Image Classification
Harsh Mehta
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
230
48
0
06 May 2022
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise
SIAM Journal on Optimization (SIAM J. Optim.), 2022
D. Jakovetić
Dragana Bajović
Anit Kumar Sahu
S. Kar
Nemanja Milošević
Dusan Stamenkovic
197
20
0
06 Apr 2022
Statistic Selection and MCMC for Differentially Private Bayesian Estimation
Statistics and computing (Stat. Comput.), 2022
Barış Alparslan
S. Yıldırım
255
3
0
24 Mar 2022
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
Neural Information Processing Systems (NeurIPS), 2022
Jiayuan Ye
Reza Shokri
FedML
282
57
0
10 Mar 2022
Private Adaptive Optimization with Side Information
International Conference on Machine Learning (ICML), 2022
Tian Li
Manzil Zaheer
Sashank J. Reddi
Virginia Smith
177
43
0
12 Feb 2022
Toward Training at ImageNet Scale with Differential Privacy
Alexey Kurakin
Shuang Song
Steve Chien
Roxana Geambasu
Seth Neel
Abhradeep Thakurta
308
111
0
28 Jan 2022
Gradient Leakage Attack Resilient Deep Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Wenqi Wei
Ling Liu
SILM
PILM
AAML
178
62
0
25 Dec 2021
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu
Matthew B. Blaschko
395
7
0
01 Dec 2021
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