Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

24 Results

<<   <   Page 1 of 2   >   >>
Affinity Workshop
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang
Workshop
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
Kiwan Maeng · Chuan Guo · Sanjay Kariyappa · G. Edward Suh
Poster
Wed 14:00 M4I: Multi-modal Models Membership Inference
Pingyi Hu · Zihan Wang · Ruoxi Sun · Hu Wang · Minhui Xue
Poster
Thu 9:00 In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
JIAQI WANG · Roei Schuster · I Shumailov · David Lie · Nicolas Papernot
Workshop
Preserving privacy with PATE for heterogeneous data
Akshay Dodwadmath · Sebastian Stich
Poster
Conformal Frequency Estimation with Sketched Data
Matteo Sesia · Stefano Favaro
Poster
Wed 9:00 LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunovic · Dimitar Dimitrov · Nikola Jovanović · Martin Vechev
Workshop
Fri 14:20 Invited Talk #5, Privacy-Preserving Data Synthesis for General Purposes, Bo Li
Bo Li
Workshop
Sat 8:30 Invited Talk: Richard Socher, Swetha Mandava, Zairah Mustahsan - Becoming Data-Centric at You.com - a privacy focussed search engine
Zairah Mustahsan · Mani Swetha Mandava
Workshop
Privacy-Preserving Data Filtering in Federated Learning Using Influence Approximation
Ljubomir Rokvic · Panayiotis Danassis · Boi Faltings
Poster
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
Poster
Tue 9:00 Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal