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Spotlight
Thu Jul 21 05:30 AM -- 05:35 AM (KST) @ 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
Thu Jul 21 05:35 AM -- 05:40 AM (KST) @ 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
Thu Jul 21 05:40 AM -- 05:45 AM (KST) @ 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
Thu Jul 21 05:45 AM -- 05:50 AM (KST) @ 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
Thu Jul 21 05:50 AM -- 05:55 AM (KST) @ 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
Thu Jul 21 05:55 AM -- 06:00 AM (KST) @ 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
Thu Jul 21 06:00 AM -- 06:05 AM (KST) @ 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
Thu Jul 21 06:05 AM -- 06:25 AM (KST) @ 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
Thu Jul 21 06:25 AM -- 06:30 AM (KST) @ 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
Thu Jul 21 06:30 AM -- 06:35 AM (KST) @ 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
Thu Jul 21 06:35 AM -- 06:40 AM (KST) @ 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
Thu Jul 21 06:40 AM -- 06:45 AM (KST) @ Room 307
Secure Quantized Training for Deep Learning
In SA: Privacy-preserving Statistics and Machine Learning
Marcel Keller · Ke Sun
Spotlight
Thu Jul 21 06:45 AM -- 06:50 AM (KST) @ 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
Thu Jul 21 06:50 AM -- 06:55 AM (KST) @ 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
Thu Jul 21 06:55 AM -- 07:00 AM (KST) @ 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