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05/24/2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
Personalized federated learning (PFL) aims to produce the greatest perso...
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05/01/2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
To defend the inference attacks and mitigate the sensitive information l...
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03/23/2023
Detecting Backdoors in Pre-trained Encoders
Self-supervised learning in computer vision trains on unlabeled data, su...
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03/20/2023
Make Landscape Flatter in Differentially Private Federated Learning
To defend the inference attacks and mitigate the sensitive information l...
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01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
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11/29/2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models
We conduct a systematic study of backdoor vulnerabilities in normally tr...
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10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
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10/12/2022
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
The attention mechanism plays a pivotal role in designing advanced super...
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08/16/2022
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps
Sophisticated traffic analytics, such as the encrypted traffic analytics...
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06/18/2022
DECK: Model Hardening for Defending Pervasive Backdoors
Pervasive backdoors are triggered by dynamic and pervasive input perturb...
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05/12/2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Recent advances in single image super-resolution (SISR) have achieved ex...
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02/11/2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense
We develop a novel optimization method for NLPbackdoor inversion. We lev...
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03/16/2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Backdoor attack injects malicious behavior to models such that inputs em...
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02/09/2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Back-door attack poses a severe threat to deep learning systems. It inje...
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12/21/2020
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Trojan (backdoor) attack is a form of adversarial attack on deep neural ...
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07/30/2020
Black-box Adversarial Sample Generation Based on Differential Evolution
Deep Neural Networks (DNNs) are being used in various daily tasks such a...
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10/27/2018
