|
Workshop
|
|
MPCLeague: Robust 4-party Computation for Privacy-Preserving Machine Learning
Nishat Koti · Arpita Patra · Ajith Suresh
|
|
|
Workshop
|
|
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti · Mahak Pancholi · Arpita Patra · Ajith Suresh
|
|
|
Workshop
|
|
Byzantine-Robust and Privacy-Preserving Framework for FedML
Seyedeh Hanieh Hashemi
|
|
|
Workshop
|
|
AsymmetricML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference
Yue Niu · Salman Avestimehr
|
|
|
Spotlight
|
Mon 20:38
|
Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
|
|
|
Poster
|
Thu 1:00
|
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu · Huishuai Zhang · Wei Chen · Tie-Yan Liu
|
|
|
Poster
|
Thu 9:00
|
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar · Ishita Dasgupta · Jonathan Cohen · Nathaniel Daw · Thomas L Griffiths
|
|
|
Poster
|
Tue 17:00
|
Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
|
|
|
Poster
|
Mon 1:00
|
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
|
|
|
Poster
|
Mon 1:00
|
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
|
|
|
Poster
|
Tue 9:00
|
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov · John J Hopfield
|
|
|
Poster
|
Mon 9:00
|
Shapley Explanation Networks
Rui Wang · Xiaoqian Wang · David Inouye
|
|
