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Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 307
Improved Regret for Differentially Private Exploration in Linear MDP
In SA: Privacy-preserving Statistics and Machine Learning
Dung Ngo · Giuseppe Vietri · Steven Wu
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 307
Differentially Private Community Detection for Stochastic Block Models
In SA: Privacy-preserving Statistics and Machine Learning
Mohamed Mohamed · Dung Nguyen · Anil Vullikanti · Ravi Tandon
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 307
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
In SA: Privacy-preserving Statistics and Machine Learning
xinwei zhang · Xiangyi Chen · Mingyi Hong · Steven Wu · Jinfeng Yi
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 307
Hermite Polynomial Features for Private Data Generation
In SA: Privacy-preserving Statistics and Machine Learning
Margarita Vinaroz · Mohammad-Amin Charusaie · Frederik Harder · Kamil Adamczewski · Mi Jung Park
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 307
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
In SA: Privacy-preserving Statistics and Machine Learning
Mantas Mazeika · Bo Li · David Forsyth
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 307
Deduplicating Training Data Mitigates Privacy Risks in Language Models
In SA: Privacy-preserving Statistics and Machine Learning
Nikhil Kandpal · Eric Wallace · Colin Raffel
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 307
Private frequency estimation via projective geometry
In SA: Privacy-preserving Statistics and Machine Learning
Vitaly Feldman · Jelani Nelson · Huy Nguyen · Kunal Talwar
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Room 307
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
In SA: Privacy-preserving Statistics and Machine Learning
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 307
Faster Privacy Accounting via Evolving Discretization
In SA: Privacy-preserving Statistics and Machine Learning
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 307
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
In SA: Privacy-preserving Statistics and Machine Learning
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 307
Private Adaptive Optimization with Side information
In SA: Privacy-preserving Statistics and Machine Learning
Tian Li · Manzil Zaheer · Sashank Jakkam Reddi · Virginia Smith
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 307
Secure Quantized Training for Deep Learning
In SA: Privacy-preserving Statistics and Machine Learning
Marcel Keller · Ke Sun
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 307
Private optimization in the interpolation regime: faster rates and hardness results
In SA: Privacy-preserving Statistics and Machine Learning
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 307
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
In SA: Privacy-preserving Statistics and Machine Learning
Paul Mangold · Aurélien Bellet · Joseph Salmon · Marc Tommasi
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 307
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
In SA: Privacy-preserving Statistics and Machine Learning
Yuxuan Han · Zhicong Liang · Zhipeng Liang · Yang Wang · Yuan Yao · Jiheng Zhang