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04/28/2023
Earning Extra Performance from Restrictive Feedbacks
Many machine learning applications encounter a situation where model pro...
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12/31/2022
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Reinforcement learning (RL) is one of the most important branches of AI....
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11/18/2022
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning
Deep neural networks (DNNs), are widely used in many industries such as ...
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02/14/2022
What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code
Recently, many pre-trained language models for source code have been pro...
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01/19/2022
Cross-Language Binary-Source Code Matching with Intermediate Representations
Binary-source code matching plays an important role in many security and...
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11/21/2021
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
Software clone detection identifies similar code snippets. It has been a...
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03/21/2021
A Systematical Study on Application Performance Management Libraries for Apps
Being able to automatically detect the performance issues in apps can si...
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12/06/2020
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
We present NaturalCC, an efficient and extensible toolkit to bridge the ...
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07/31/2020
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs
Grey-box fuzz testing has revealed thousands of vulnerabilities in real-...
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03/30/2020
Secure Metric Learning via Differential Pairwise Privacy
Distance Metric Learning (DML) has drawn much attention over the last tw...
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09/30/2019
