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09/15/2023
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study
Code review is an essential activity for ensuring the quality and mainta...
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07/29/2023
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Testing deep learning-based systems is crucial but challenging due to th...
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07/14/2023
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems
Testing Autonomous Driving Systems (ADSs) is a critical task for ensurin...
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06/02/2023
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models
The costly human effort required to prepare the training data of machine...
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04/11/2023
Evaluating AIGC Detectors on Code Content
Artificial Intelligence Generated Content (AIGC) has garnered considerab...
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01/27/2023
Neural Episodic Control with State Abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
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10/03/2022
Decompiling x86 Deep Neural Network Executables
Due to their widespread use on heterogeneous hardware devices, deep lear...
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07/22/2022
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis
Deep learning plays a more and more important role in our daily life due...
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07/19/2022
Enhancing Security Patch Identification by Capturing Structures in Commits
With the rapid increasing number of open source software (OSS), the majo...
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06/11/2022
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning
Over the past few years, deep learning (DL) has been continuously expand...
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04/08/2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
Deep Neural Networks (DNNs) have gained considerable attention in the pa...
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04/08/2022
Labeling-Free Comparison Testing of Deep Learning Models
Various deep neural networks (DNNs) are developed and reported for their...
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12/02/2021
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
Code embedding is a keystone in the application of machine learning on s...
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04/22/2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
The adaptive traffic signal control (ATSC) problem can be modeled as a m...
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09/19/2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
The chest X-ray plays a key role in screening and diagnosis of many lung...
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09/19/2020
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
Single-image deraining is rather challenging due to the unknown rain mod...
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09/19/2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery
Diabetic retinopathy (DR) is a leading cause of vision loss in the world...
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09/19/2020
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise
The novelty and creativity of DeepFake generation techniques have attrac...
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09/19/2020
It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception
Rain is a common phenomenon in nature and an essential factor for many d...
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09/15/2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Deep neural networks (DNN) have shown great success in many computer vis...
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08/13/2020
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis
With the rapid growth of Android malware, many machine learning-based ma...
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07/14/2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
Image denoising techniques have been widely employed in multimedia devic...
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07/02/2020
Generating Adversarial Examples withControllable Non-transferability
Adversarial attacks against Deep Neural Networks have been widely studie...
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06/13/2020
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
As the GAN-based face image and video generation techniques, widely know...
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06/13/2020
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
The recently rapid advances of generative adversarial networks (GANs) in...
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06/09/2020
Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN
Source code summarization aims to generate natural language summaries fr...
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06/09/2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
In this paper, we present the first attack methodology to extract black-...
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05/28/2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
With the recent advances in voice synthesis, AI-synthesized fake voices ...
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05/14/2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Adversarial attacks against conventional Deep Learning (DL) systems and ...
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05/11/2020
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices
Currently, Android malware detection is mostly performed on the server s...
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04/24/2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Over the past decade, deep learning (DL) has been successfully applied t...
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02/20/2020
Towards Byzantine-resilient Learning in Decentralized Systems
With the proliferation of IoT and edge computing, decentralized learning...
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02/10/2020
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack
Deep neural networks are vulnerable to noise-based adversarial examples,...
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01/27/2020
FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles
Nowadays, full face synthesis and partial face manipulation by virtue of...
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12/09/2019
Amora: Black-box Adversarial Morphing Attack
Nowadays, digital facial content manipulation has become ubiquitous and ...
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10/19/2019
Spatial-aware Online Adversarial Perturbations Against Visual Object Tracking
Adversarial attacks of deep neural networks have been intensively studie...
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09/15/2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Deep Learning (DL) has recently achieved tremendous success. A variety o...
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09/13/2019
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
In recent years, we have witnessed the unprecedented success of generati...
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12/13/2018
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems
Deep learning (DL) defines a data-driven programming paradigm that autom...
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11/13/2018
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms
Deep learning (DL) has recently achieved tremendous success in a variety...
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09/07/2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Deep neural networks (DNN), while becoming the driving force of many nov...
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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