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02/19/2023
Why Is Public Pretraining Necessary for Private Model Training?
In the privacy-utility tradeoff of a model trained on benchmark language...
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12/05/2022
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning
Data generated at the network edge can be processed locally by leveragin...
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05/24/2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
We propose Byzantine-robust federated learning protocols with nearly opt...
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05/30/2021
FED-χ^2: Privacy Preserving Federated Correlation Test
In this paper, we propose the first secure federated χ^2-test protocol F...
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05/26/2021
Differentially Private Frequency Moments Estimation with Polylogarithmic Space
We prove that 𝔽_p sketch, a well-celebrated streaming algorithm for freq...
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05/02/2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Recent research has confirmed the feasibility of backdoor attacks in dee...
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03/02/2021
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing
Deep learning techniques have achieved remarkable performance in wide-ra...
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12/09/2020
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance
Today's massive scale of data collection coupled with recent surges of c...
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10/02/2020
F2ED-Learning: Good Fences Make Good Neighbors
In this paper, we present F2ED-Learning, the first federated learning pr...
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06/22/2020
Private Distributed Mean Estimation
Ever since its proposal, differential privacy has become the golden stan...
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06/15/2020
Towards practical differentially private causal graph discovery
Causal graph discovery refers to the process of discovering causal relat...
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09/05/2019
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy
During the past decade, differential privacy has become the gold standar...
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08/30/2019
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations
The increasing pace of data collection has led to increasing awareness o...
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08/02/2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
A trojan backdoor is a hidden pattern typically implanted in a deep neur...
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04/21/2017
