Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,123 papers shown

Title
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 52 4 0 29 Jul 2024
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models Deniz Daum Richard Osuala Anneliese Riess Georgios Kaissis Julia A. Schnabel Maxime Di Folco MedIm 55 0 0 23 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 44 7 0 22 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 49 3 0 20 Jul 2024
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models Aydin Abadi Vishnu Asutosh Dasu Sumanta Sarkar 48 3 0 11 Jul 2024
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng Siva Rajesh Kasa Santhosh Kumar Kasa Hyokun Yun C. Teo S. Bodapati 92 7 0 08 Jul 2024
Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses Weiwei Kong Mónica Ribero 37 3 0 07 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 34 0 0 06 Jul 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 57 0 0 28 Jun 2024
Too Good to be True? Turn Any Model Differentially Private With DP-Weights David Zagardo 30 0 0 27 Jun 2024
Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model Tariq Bontekoe Hassan Jameel Asghar Fatih Turkmen 21 1 0 27 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 62 8 0 25 Jun 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 74 1 0 25 Jun 2024
On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon FedML 42 2 0 24 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 50 5 0 22 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov KELM MU 71 4 0 13 Jun 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert 52 4 0 13 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 82 1 0 12 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu Andrew Lowy T. Koike-Akino K. Parsons Ye Wang 35 0 0 07 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 45 1 0 07 Jun 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human Shuo Huang William MacLean Xiaoxi Kang Anqi Wu Lizhen Qu Qiongkai Xu Zhuang Li Xingliang Yuan Gholamreza Haffari 35 0 0 06 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 54 1 0 05 Jun 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Danfeng Zhang Daniel Kifer Daniel Kifer 61 2 0 04 Jun 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 31 2 0 28 May 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 47 2 0 28 May 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 31 0 0 28 May 2024
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon 47 0 0 28 May 2024
Delving into Differentially Private Transformer Youlong Ding Xueyang Wu Yining Meng Yonggang Luo Hao Wang Weike Pan 44 5 0 28 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 44 0 0 27 May 2024
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition C. Lebeda Matthew Regehr Gautam Kamath Thomas Steinke 58 9 0 27 May 2024
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation Anantaa Kotal Brandon Luton Anupam Joshi 48 1 0 26 May 2024
DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov Dimitar I. Dimitrov Maximilian Baader Mark Niklas Muller Martin Vechev FedML 65 3 0 24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 52 1 0 24 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework Daniel Commey Sena Hounsinou Garth V. Crosby 31 3 0 19 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 62 6 0 19 May 2024
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data Abdulrahman Alabdulakreem Christian M Arnold Yerim Lee Pieter M Feenstra Boris Katz Andrei Barbu 26 4 0 16 May 2024
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization Shun Takagi Li Xiong Fumiyuki Kato Yang Cao Masatoshi Yoshikawa 3DH 46 2 0 13 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 6 0 10 May 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models George-Octavian Barbulescu Peter Triantafillou MU 38 16 0 06 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 51 0 0 04 May 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data Vikhyat Agrawal Sunil Vasu Kalmady Venkataseetharam Manoj Malipeddi Manisimha Manthena Weijie Sun Saiful Islam Abram Hindle Padma Kaul Russell Greiner FedML 27 5 0 26 Apr 2024
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks M. Kodys Zhongmin Dai V. Thing 50 0 0 15 Apr 2024
Privacy at a Price: Exploring its Dual Impact on AI Fairness Mengmeng Yang Ming Ding Youyang Qu Wei Ni David B. Smith Thierry Rakotoarivelo 30 1 0 15 Apr 2024
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks Matteo Tucat Anirbit Mukherjee Procheta Sen Mingfei Sun Omar Rivasplata MLT 39 1 0 12 Apr 2024
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy Antigoni Polychroniadou Gabriele Cipriani Richard Hua T. Balch 41 0 0 10 Apr 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 63 18 0 09 Apr 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Qiushi Li Yan Zhang Ju Ren Qi Li Yaoxue Zhang AAML PICV 41 23 0 05 Apr 2024
Faraday: Synthetic Smart Meter Generator for the smart grid Sheng Chai Gus Chadney 39 4 0 05 Apr 2024