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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
Graph Structure Learning with Privacy Guarantees for Open Graph Data Muhao Guo Jiaqi Wu Yang Weng Y. Liao Shengzhe Chen 0 0 0 25 Jul 2025
Lower Bounds for Public-Private Learning under Distribution Shift Amrith Rajagopal Setlur Pratiksha Thaker Jonathan Ullman FedML 10 0 0 23 Jul 2025
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing Meenatchi Sundaram Muthu Selva Annamalai Borja Balle Jamie Hayes Georgios Kaissis Emiliano De Cristofaro 58 0 0 20 Jun 2025
Private Training & Data Generation by Clustering Embeddings Felix Y. Zhou Samson Zhou Vahab Mirrokni Alessandro Epasto Vincent Cohen-Addad 34 0 0 20 Jun 2025
A Novel Approach to Differential Privacy with Alpha Divergence Yifeng Liu Zehua Wang 36 0 0 20 Jun 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs Xun Wang Jing Xu Franziska Boenisch Michael Backes Christopher A. Choquette-Choo Adam Dziedzic AAML 46 0 0 19 Jun 2025
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Terrance Liu Matteo Boglioni Yiwei Fu Shengyuan Hu Pratiksha Thaker Zhiwei Steven Wu 27 0 0 18 Jun 2025
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning Xiyu Zhao Qimei Cui Weicai Li Wei Ni Ekram Hossain Quan Z. Sheng Xiaofeng Tao Ping Zhang FedML 53 0 0 17 Jun 2025
Discrete Diffusion in Large Language and Multimodal Models: A Survey Runpeng Yu Qi Li Xinchao Wang DiffM AI4CE 75 3 0 16 Jun 2025
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective Nima Naderloui Shenao Yan Binghui Wang Jie Fu Wendy Hui Wang Weiran Liu Yuan Hong AAML 52 0 0 16 Jun 2025
The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI Marcelle Momha 39 0 0 15 Jun 2025
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It? Weicai Li Tiejun Lv Xiyu Zhao Xin Yuan Wei Ni 46 0 0 15 Jun 2025
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning Roy Rinberg Ilia Shumailov Vikrant Singhal Rachel Cummings Nicolas Papernot 40 0 0 14 Jun 2025
Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning Dustin Ray Caroline El Jazmi 22 1 0 13 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 42 0 0 13 Jun 2025
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Kaiyuan Zhang Siyuan Cheng Hanxi Guo Yuetian Chen Zian Su ... Yuntao Du Charles Fleming Ashish Kundu Xiangyu Zhang Ninghui Li AAML 162 0 0 12 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 76 0 0 11 Jun 2025
Private Evolution Converges Tomás González Giulia Fanti Aaditya Ramdas 36 0 0 10 Jun 2025
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Haoxiang Wang Zinan Lin Da Yu Huishuai Zhang 43 0 0 09 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Rui Wen Yiyong Liu Michael Backes Yang Zhang AAML 25 0 0 09 Jun 2025
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models Qianshan Wei Jiaqi Li Zihan You Yi Zhan Kecen Li ... Yi Yu Bin Cao Yiwen Xu Yang Liu Guilin Qi AAML VLM 33 0 0 08 Jun 2025
PASS: Private Attributes Protection with Stochastic Data Substitution Yizhuo Chen Chun-Fu Chen Hsiang Hsu Shaohan Hu Tarek Abdelzaher 33 0 0 08 Jun 2025
Certified Unlearning for Neural Networks Anastasia Koloskova Youssef Allouah Animesh Jha R. Guerraoui Sanmi Koyejo MU 51 0 0 08 Jun 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning Zeyu Yan Yifei Yao Xuanbing Wen Juli Zhang Kai Fan AAML 30 0 0 07 Jun 2025
Differentially Private Sparse Linear Regression with Heavy-tailed Responses Xizhi Tian Meng Ding Touming Tao Zihang Xiang Di Wang 37 0 0 07 Jun 2025
Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning Yuan Yuan Yukun Liu Chonghua Han Jie Feng Yong Li 19 0 0 07 Jun 2025
Synthetic Tabular Data: Methods, Attacks and Defenses Graham Cormode Samuel Maddock Enayat Ullah Shripad Gade 69 0 0 06 Jun 2025
GeoClip: Geometry-Aware Clipping for Differentially Private SGD Atefeh Gilani Naima Tasnim Lalitha Sankar O. Kosut 31 0 0 06 Jun 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression Clément Pierquin A. Bellet Marc Tommasi Matthieu Boussard MIACV 121 0 0 05 Jun 2025
Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks Stephen Smith Cormac Purcell Zdenka Kuncic 44 0 0 04 Jun 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning Hasin Us Sami Swapneel Sen Amit K. Roy-Chowdhury S. Krishnamurthy Başak Güler FedML SILM 74 0 0 04 Jun 2025
FERRET: Private Deep Learning Faster And Better Than DPSGD David Zagardo FedML 29 0 0 04 Jun 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation Roie Reshef Kfir Y. Levy FedML 77 0 0 03 Jun 2025
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling Xiyu Zhao Qimei Cui Ziqiang Du Weicai Li Xi Yu Wei Ni Ji Zhang Xiaofeng Tao Ping Zhang 76 0 0 03 Jun 2025
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping Linzh Zhao Aki Rehn Mikko A. Heikkilä Razane Tajeddine Antti Honkela 73 0 0 02 Jun 2025
CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting Zhuo Chen Zhenya Ma Yan Zhang Donghua Cai Ye Zhang ... Yongheng Deng Y. Guo Ju Ren Xuemin Shen FedML AAML 62 0 0 02 Jun 2025
Differential Privacy for Deep Learning in Medicine Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 62 1 0 31 May 2025
Shadow defense against gradient inversion attack in federated learning Le Jiang Liyan Ma Guang Yang AAML FedML 35 0 0 30 May 2025
Hush! Protecting Secrets During Model Training: An Indistinguishability Approach Arun Ganesh Brendan McMahan Milad Nasr Thomas Steinke Abhradeep Thakurta 45 0 0 30 May 2025
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States Eli Chien Wei-Ning Chen P. Li 43 0 0 30 May 2025
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Sizai Hou Songze Li Baturalp Buyukates 77 0 0 28 May 2025
Private Rate-Constrained Optimization with Applications to Fair Learning Mohammad Yaghini Tudor Cebere Michael Menart A. Bellet Nicolas Papernot 70 0 0 28 May 2025
Risks of AI-driven product development and strategies for their mitigation Jan Göpfert J. Weinand Patrick Kuckertz Noah Pflugradt Jochen Linßen 43 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 55 1 0 27 May 2025
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects Maresa Schröder Justin Hartenstein Stefan Feuerriegel 66 0 0 27 May 2025
Private Geometric Median in Nearly-Linear Time Syamantak Kumar Daogao Liu Kevin Tian Chutong Yang FedML 58 0 0 26 May 2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments Pengcheng Sun Erwu Liu Wei Ni Rui Wang Yuanzhe Geng Lijuan Lai Abbas Jamalipour 45 0 0 26 May 2025
Spurious Privacy Leakage in Neural Networks Chenxiang Zhang Jun Pang S. Mauw 72 0 0 26 May 2025
Leveraging Per-Instance Privacy for Machine Unlearning N. Sepahvand Anvith Thudi Berivan Isik Ashmita Bhattacharyya Nicolas Papernot Eleni Triantafillou Daniel M. Roy Gintare Karolina Dziugaite MU FedML 55 0 0 24 May 2025
Large language model as user daily behavior data generator: balancing population diversity and individual personality Haoxin Li Jingtao Ding Jiahui Gong Yong Li SyDa 121 0 0 23 May 2025