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07/31/2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
The language models, especially the basic text classification models, ha...
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04/10/2023
Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples
Black-box adversarial attacks have shown strong potential to subvert mac...
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10/04/2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Vertical Federated Learning (FL) is a new paradigm that enables users wi...
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09/29/2022
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response
Location-based services (LBS) have been significantly developed and wide...
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07/18/2022
On Fair Classification with Mostly Private Sensitive Attributes
Machine learning models have demonstrated promising performance in many ...
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07/12/2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Randomized smoothing has achieved great success for certified robustness...
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07/05/2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
We study certified robustness of machine learning classifiers against ad...
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06/27/2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Outsourcing anomaly detection to third-parties can allow data owners to ...
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02/02/2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients
Deep learning models have been shown to be vulnerable to adversarial att...
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07/09/2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Widely deployed deep neural network (DNN) models have been proven to be ...
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05/31/2021
Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study
This study aimed to develop a classifier of prognosis after resection or...
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02/07/2021
Privacy-preserving Cloud-based DNN Inference
Deep learning as a service (DLaaS) has been intensively studied to facil...
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09/20/2020
R^2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Differential privacy (DP) has emerged as a de facto standard privacy not...
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04/25/2020
Privacy Preserving Distributed Energy Trading
The smart grid incentivizes distributed agents with local generation (e....
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09/18/2019
VideoDP: A Universal Platform for Video Analytics with Differential Privacy
Massive amounts of video data are ubiquitously generated in personal dev...
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02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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10/24/2018
Preserving Both Privacy and Utility in Network Trace Anonymization
As network security monitoring grows more sophisticated, there is an inc...
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03/15/2018
Securely Solving the Distributed Graph Coloring Problem
Combinatorial optimization is a fundamental problem found in many fields...
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11/01/2017