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09/21/2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel
Deep Neural Network (DNN) models are often deployed in resource-sharing ...
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08/18/2023
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Mutation-based fuzzing is popular and effective in discovering unseen co...
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05/22/2023
The "code” of Ethics:A Holistic Audit of AI Code Generators
AI-powered programming language generation (PLG) models have gained incr...
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02/10/2022
PPA: Preference Profiling Attack Against Federated Learning
Federated learning (FL) trains a global model across a number of decentr...
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07/28/2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Generative Adversarial Networks (GAN)-synthesized table publishing lets ...
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07/20/2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Data hiding is the process of embedding information into a noise-toleran...
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05/24/2021
Dissecting Click Fraud Autonomy in the Wild
Although the use of pay-per-click mechanisms stimulates the prosperity o...
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05/12/2021
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
The proliferation of Internet of Things (IoT) devices has made people's ...
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05/01/2021
Hidden Backdoors in Human-Centric Language Models
Natural language processing (NLP) systems have been proven to be vulnera...
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02/23/2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Deep Neural Networks have achieved unprecedented success in the field of...
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02/21/2021
Delayed Rewards Calibration via Reward Empirical Sufficiency
Appropriate credit assignment for delay rewards is a fundamental challen...
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07/16/2020
Deep Learning Backdoors
Intuitively, a backdoor attack against Deep Neural Networks (DNNs) is to...
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06/21/2020
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models
With the rise of third parties in the machine learning pipeline, the ser...
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06/19/2020
Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications
The rapid spread of COVID-19 has made traditional manual contact tracing...
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02/13/2020
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study
Online Automated Privacy Policy Generators (APPGs) are tools used by app...
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09/06/2019
Invisible Backdoor Attacks Against Deep Neural Networks
Deep neural networks (DNNs) have been proven vulnerable to backdoor atta...
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05/17/2019
The Audio Auditor: Participant-Level Membership Inference in Internet of Things Voice Services
Voice interfaces and assistants implemented by various services have bec...
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05/17/2019
The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT
Voice interfaces and assistants implemented by various services have bec...
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12/06/2018
Differentially Private Data Generative Models
Deep neural networks (DNNs) have recently been widely adopted in various...
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10/10/2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Over the past decades, deep learning (DL) systems have achieved tremendo...
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09/04/2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
In company with the data explosion over the past decade, deep neural net...
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09/04/2018
Coverage-Guided Fuzzing for Deep Neural Networks
In company with the data explosion over the past decade, deep neural net...
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06/20/2018
Combinatorial Testing for Deep Learning Systems
Deep learning (DL) has achieved remarkable progress over the past decade...
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05/14/2018
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps
Contemporary financial technology (FinTech) that enables cashless mobile...
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05/14/2018
DeepMutation: Mutation Testing of Deep Learning Systems
Deep learning (DL) defines a new data-driven programming paradigm where ...
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03/20/2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Deep learning defines a new data-driven programming paradigm that constr...
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03/20/2018
