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Workshop
An automatic differentiation system for the age of differential privacy
Dmitrii Usynin · Alexander Ziller · Moritz Knolle · Daniel Rueckert · Georgios Kaissis
Poster
Thu 0:30 Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
Workshop
Communication Efficient Federated Learning with Secure Aggregation and Differential Privacy
Wei-Ning Chen · Christopher Choquette-Choo · Peter Kairouz
Workshop
Tue 1:30 Invited talk: Emiliano de Cristofaro (University College London) --- Privacy in Machine Learning -- It's Complicated
Emiliano De Cristofaro
Poster
Thu 8:30 Fast and Memory Efficient Differentially Private-SGD via JL Projections
Zhiqi Bu · Sivakanth Gopi · Janardhan Kulkarni · Yin Tat Lee · Judy Hanwen Shen · Uthaipon Tantipongpipat
Poster
Thu 0:30 Differentially Private Multi-Armed Bandits in the Shuffle Model
Jay Tenenbaum · Haim Kaplan · Yishay Mansour · Uri Stemmer
Poster
Thu 0:30 PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
Benyuan Sun · Hongxing Huo · YI YANG · Bo Bai
Poster
Thu 0:30 Parameter-free HE-friendly Logistic Regression
Junyoung Byun · Woojin Lee · Jaewook Lee
Poster
Thu 8:30 Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Souvik Kundu · Qirui Sun · Yao Fu · Massoud Pedram · Peter Beerel
Poster
Thu 8:30 Differentially Private Empirical Risk Minimization under the Fairness Lens
Cuong Tran · My Dinh · Ferdinando Fioretto
Poster
Tue 16:30 Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
Poster
Thu 16:30 Fair Sequential Selection Using Supervised Learning Models
Mahdi Khalili · Xueru Zhang · Mahed Abroshan