Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.14191
Cited By
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
AAAI Conference on Artificial Intelligence (AAAI), 2020
28 July 2020
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Tempered Sigmoid Activations for Deep Learning with Differential Privacy"
50 / 110 papers shown
Understanding Private Learning From Feature Perspective
Meng Ding
Mingxi Lei
Shaopeng Fu
Shaowei Wang
Di Wang
Jinhui Xu
MLT
199
2
0
22 Nov 2025
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD
Lea Demelius
Dominik Kowald
Simone Kopeinik
Roman Kern
A. Trugler
FedML
203
1
0
02 Oct 2025
Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation
Qifeng Tan
Shusen Yang
Xuebin Ren
Yikai Zhang
181
1
0
04 Sep 2025
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Wenxuan Bao
Vincent Bindschaedler
AAML
315
0
0
21 Aug 2025
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
Martin Krutsky
Gustav Sir
Vyacheslav Kungurtsev
Georgios Korpas
AI4CE
357
1
0
18 Jul 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
Rushabh Solanki
Meghana Bhange
Ulrich Aïvodji
Elliot Creager
314
4
0
09 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
402
7
0
29 Mar 2025
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
IEEE International Conference on Data Engineering (ICDE), 2025
Sen Zhang
Qingqing Ye
Haibo Hu
Jianliang Xu
296
2
0
27 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
315
0
0
27 Mar 2025
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
390
1
0
09 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
261
1
0
08 Jan 2025
R+R:Understanding Hyperparameter Effects in DP-SGD
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Felix Morsbach
J. Reubold
T. Strufe
348
1
0
04 Nov 2024
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
International Conference on Learning Representations (ICLR), 2024
Zhihao He
Hang Yu
Zi Gong
Shizhan Liu
Jia-Nan Li
Weiyao Lin
VLM
516
5
0
09 Oct 2024
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
International Conference on Learning Representations (ICLR), 2024
Xinwei Zhang
Zhiqi Bu
Borja Balle
Mingyi Hong
Meisam Razaviyayn
Vahab Mirrokni
423
5
0
04 Oct 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
IEEE Transactions on Image Processing (IEEE TIP), 2022
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
317
24
0
04 Sep 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
Neural Information Processing Systems (NeurIPS), 2024
Xinwei Zhang
Zhiqi Bu
Mingyi Hong
Meisam Razaviyayn
203
7
0
24 Aug 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
Georgios Kaissis
Stefan Kolek
Borja Balle
Jamie Hayes
Daniel Rueckert
370
11
0
13 Jun 2024
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
Yixuan Liu
Li Xiong
Yuhan Liu
Yujie Gu
Ruixuan Liu
Hong Chen
375
3
0
04 Jun 2024
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
561
11
0
28 May 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Neural Information Processing Systems (NeurIPS), 2024
Meenatchi Sundaram Muthu Selva Annamalai
Emiliano De Cristofaro
361
23
0
23 May 2024
Advances in Differential Privacy and Differentially Private Machine Learning
Saswat Das
Subhankar Mishra
326
9
0
06 Apr 2024
How Private are DP-SGD Implementations?
Lynn Chua
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chiyuan Zhang
465
23
0
26 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
DiffM
377
3
0
18 Mar 2024
Pre-training Differentially Private Models with Limited Public Data
Zhiqi Bu
Xinwei Zhang
Mingyi Hong
Sheng Zha
George Karypis
335
7
0
28 Feb 2024
Auditing Private Prediction
Karan Chadha
Matthew Jagielski
Nicolas Papernot
Christopher A. Choquette-Choo
Milad Nasr
319
10
0
14 Feb 2024
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
Ce Feng
Parv Venkitasubramaniam
345
2
0
09 Feb 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Shahed Masoudian
Cornelia Volaucnik
Markus Schedl
Navid Rekabsaz
390
10
0
29 Jan 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
Qiaoyue Tang
Frederick Shpilevskiy
Mathias Lécuyer
342
32
0
21 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective
International Conference on Climate Informatics (ICCI), 2023
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Kenfack
Samira Ebrahimi Kahou
472
11
0
28 Nov 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
406
29
0
23 Nov 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models
Neural Information Processing Systems (NeurIPS), 2023
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chiyuan Zhang
345
6
0
14 Nov 2023
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent
Lauren Watson
Eric Gan
Mohan Dantam
Baharan Mirzasoleiman
Rik Sarkar
240
1
0
12 Nov 2023
Bounded and Unbiased Composite Differential Privacy
IEEE Symposium on Security and Privacy (S&P), 2023
Kai Zhang
Yanjun Zhang
Ruoxi Sun
Pei-Wei Tsai
M. Hassan
Xingliang Yuan
Minhui Xue
Jinjun Chen
277
50
0
04 Nov 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lea Demelius
Roman Kern
Andreas Trügler
SyDa
FedML
291
50
0
28 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
AAML
406
11
0
08 Sep 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Leonard Berrada
Soham De
J. Shen
Jamie Hayes
Robert Stanforth
David Stutz
Pushmeet Kohli
Samuel L. Smith
Borja Balle
269
22
0
21 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
309
7
0
25 Jul 2023
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Meirui Jiang
Yuan Zhong
Anjie Le
Xiaoxiao Li
Qianming Dou
FedML
385
7
0
24 Jul 2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
Network and Distributed System Security Symposium (NDSS), 2023
Zitao Chen
Karthik Pattabiraman
237
41
0
04 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
295
10
0
27 Jun 2023
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification
Kamil Adamczewski
Yingchen He
Mijung Park
346
2
0
19 Jun 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Zhigang Kan
Linbo Qiao
Hao Yu
Liwen Peng
Yifu Gao
Dongsheng Li
275
30
0
14 Jun 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
Alyssa Huang
Peihan Liu
Ryumei Nakada
Linjun Zhang
Wanrong Zhang
VLM
461
8
0
13 Jun 2023
Differentially Private Sharpness-Aware Training
International Conference on Machine Learning (ICML), 2023
Jinseong Park
Hoki Kim
Yujin Choi
Jaewook Lee
302
15
0
09 Jun 2023
Differentially Private Image Classification by Learning Priors from Random Processes
Neural Information Processing Systems (NeurIPS), 2023
Xinyu Tang
Ashwinee Panda
Vikash Sehwag
Prateek Mittal
320
30
0
08 Jun 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
International Conference on Machine Learning (ICML), 2023
Junyi Zhu
Ruicong Yao
Matthew B. Blaschko
FedML
318
17
0
31 May 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way
International Conference on Learning Representations (ICLR), 2023
Louis Bethune
Thomas Massena
Thibaut Boissin
Yannick Prudent
Corentin Friedrich
Franck Mamalet
A. Bellet
M. Serrurier
David Vigouroux
366
13
0
25 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
423
18
0
10 May 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
229
7
0
25 Apr 2023
Model Conversion via Differentially Private Data-Free Distillation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Bochao Liu
Pengju Wang
Shikun Li
Dan Zeng
Shiming Ge
FedML
208
7
0
25 Apr 2023
1
2
3
Next
Page 1 of 3
