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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

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Title
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts Zhili Shen Zihang Xi Ying He Wei Tong Jingyu Hua Sheng Zhong SILM 88 8 0 20 Jun 2024
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models Dohyun Lee Daniel Rim Minseok Choi Jaegul Choo PILM MU 112 6 0 20 Jun 2024
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data Yukai Xu Jingfeng Zhang Yujie Gu FedML 89 2 0 15 Jun 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Abhimanyu Hans Yuxin Wen Neel Jain John Kirchenbauer Hamid Kazemi ... Siddharth Singh Gowthami Somepalli Jonas Geiping A. Bhatele Tom Goldstein 117 38 0 14 Jun 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia Abhirup Ghosh Xinchi Qiu Cecilia Mascolo 78 4 0 13 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 72 0 0 13 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov MU KELM 208 7 0 13 Jun 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert 96 7 0 13 Jun 2024
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey Shang Wang Tianqing Zhu Bo Liu Ming Ding Xu Guo Dayong Ye Wanlei Zhou Philip S. Yu PILM 135 20 0 12 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 194 1 0 12 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Wanrong Zhang Yuanshun Yao Sijia Liu Yang Liu 87 4 0 11 Jun 2024
Private Geometric Median Mahdi Haghifam Thomas Steinke Jonathan R. Ullman 76 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 96 10 0 10 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning Sana Ayromlou Teresa S. M. Tsang Purang Abolmaesumi Xiaoxiao Li CLL 76 4 0 09 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 97 24 0 08 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu Andrew Lowy T. Koike-Akino K. Parsons Ye Wang 117 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 Xiwei Xu 142 2 0 07 Jun 2024
Tangent differential privacy Lexing Ying 61 0 0 06 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 123 9 0 06 Jun 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human Shuo Huang William MacLean Xiaoxi Kang Qiongkai Xu Zhuang Li Xingliang Yuan Zhuang Li Lizhen Qu 154 0 0 06 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 80 1 0 05 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 118 15 0 05 Jun 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Hilal Asi Daogao Liu Kevin Tian 82 4 0 04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 116 2 0 04 Jun 2024
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation Wei Shao Rongyi Zhu Cai Yang Chandra Thapa Muhammad Ejaz Ahmed S. Çamtepe Rui Zhang DuYong Kim Hamid Menouar Flora D. Salim 82 0 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 132 2 0 04 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 82 3 0 03 Jun 2024
Safeguarding Large Language Models: A Survey Yi Dong Ronghui Mu Yanghao Zhang Siqi Sun Tianle Zhang ... Yi Qi Jinwei Hu Jie Meng Saddek Bensalem Xiaowei Huang OffRL KELM AILaw 101 32 0 03 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 106 8 0 03 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai Yizhe Li Zekai Chen Po-yu Chen Chia-Mu Yu Xuebin Ren Francois Buet-Golfouse 111 4 0 03 Jun 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Yuan Yao Gongxi Zhu Bowen Li Jie Li Lixin Fan Qiang Yang 92 1 0 03 Jun 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients Weijun Li Xingliang Yuan Mark Dras PILM 78 3 0 03 Jun 2024
Privacy-Aware Randomized Quantization via Linear Programming Zhongteng Cai Xueru Zhang Mohammad Mahdi Khalili 154 2 0 01 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 83 0 0 01 Jun 2024
The Data Minimization Principle in Machine Learning Prakhar Ganesh Cuong Tran Reza Shokri Ferdinando Fioretto 82 5 0 29 May 2024
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models Qin Yang Meisam Mohammady Han Wang Ali Payani Ashish Kundu Kai Shu Yan Yan Yuan Hong 90 0 0 29 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 67 5 0 28 May 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 94 3 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 64 0 0 28 May 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 109 2 0 28 May 2024
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon 87 1 0 28 May 2024
Delving into Differentially Private Transformer Youlong Ding Xueyang Wu Yining Meng Yonggang Luo Hao Wang Weike Pan 136 5 0 28 May 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 91 2 0 27 May 2024
Learning with User-Level Local Differential Privacy Puning Zhao Li Shen Rongfei Fan Qingming Li Huiwen Wu Xiaogang Xu Zhe Liu 70 3 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 115 2 0 27 May 2024
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings Robert Wolfe Isaac Slaughter Bin Han Bingbing Wen Yiwei Yang ... Bernease Herman E. Brown Zening Qu Nicholas Weber Bill Howe 107 8 0 27 May 2024
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition C. Lebeda Matthew Regehr Gautam Kamath Thomas Steinke 128 11 0 27 May 2024
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation Anantaa Kotal Brandon Luton Anupam Joshi 78 3 0 26 May 2024
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities ChiHua Wang Guang Cheng SILM 108 5 0 24 May 2024
HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System Zhisheng Zhang Pengyang Huang AAML 121 3 0 24 May 2024