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08/12/2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Deep neural networks (DNNs) are widely deployed on real-world devices. C...
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08/02/2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
DNN accelerators have been widely deployed in many scenarios to speed up...
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07/14/2023
Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets
Adversarial training is an important topic in robust deep learning, but ...
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06/29/2023
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Traditional domain adaptation assumes the same vocabulary across source ...
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02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
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12/29/2022
System Log Parsing: A Survey
Modern information and communication systems have become increasingly ch...
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12/22/2022
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing
Transforming off-the-shelf deep neural network (DNN) models into dynamic...
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05/25/2022
jTrans: Jump-Aware Transformer for Binary Code Similarity
Binary code similarity detection (BCSD) has important applications in va...
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03/24/2022
MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection
Monocular 3D object detection has long been a challenging task in autono...
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01/20/2022
Watermarking Pre-trained Encoders in Contrastive Learning
Contrastive learning has become a popular technique to pre-train image e...
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01/10/2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework
Learning-based Network Intrusion Detection Systems (NIDSs) are widely de...
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11/29/2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph
In this work, we propose a new and general framework to defend against b...
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10/07/2021
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time
Transforming large deep neural network (DNN) models into the multi-exit ...
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12/13/2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Public resources and services (e.g., datasets, training platforms, pre-t...
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12/03/2020
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques
It is extensively studied that Deep Neural Networks (DNNs) are vulnerabl...
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11/25/2020
Privacy-preserving Collaborative Learning with Automatic Transformation Search
Collaborative learning has gained great popularity due to its benefit of...
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09/18/2020
The Hidden Vulnerability of Watermarking for Deep Neural Networks
Watermarking has shown its effectiveness in protecting the intellectual ...
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07/30/2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
Deep Neural Networks (DNNs) in Computer Vision (CV) are well-known to be...
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07/21/2020
BorderDet: Border Feature for Dense Object Detection
Dense object detectors rely on the sliding-window paradigm that predicts...
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05/27/2020
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques
Deep Neural Networks (DNNs) are well-known to be vulnerable to Adversari...
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01/17/2020
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Affective computing and cognitive theory are widely used in modern human...
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08/26/2019
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction
With more encrypted network traffic gets involved in the Internet, how t...
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07/25/2019
A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition
The recent research of facial expression recognition has made a lot of p...
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04/17/2019
Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems
The recent spades of cyber security attacks have compromised end users' ...
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12/28/2018
An Inattention Model for Traveler Behavior with e-Coupons
In this study, we consider traveler coupon redemption behavior from the ...
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03/13/2018
An Efficient Data Protection Architecture Based on Fragmentation and Encryption
In this thesis, a completely revisited data protection scheme based on s...
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02/10/2018
