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08/30/2023
High-Speed (7,2) Compressor Using A Fast Carry-Generation Logic based on Sorting Network
Fast binary compressors are the main components of many basic digital ca...
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06/15/2023
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems
The remarkable success of the use of machine learning-based solutions fo...
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12/29/2022
QPanda: high-performance quantum computing framework for multiple application scenarios
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
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03/16/2022
Are Shortest Rationales the Best Explanations for Human Understanding?
Existing self-explaining models typically favor extracting the shortest ...
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05/02/2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Recent research has confirmed the feasibility of backdoor attacks in dee...
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02/03/2020
Robust saliency maps with decoy-enhanced saliency score
Saliency methods help to make deep neural network predictions more inter...
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08/02/2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
A trojan backdoor is a hidden pattern typically implanted in a deep neur...
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11/07/2018
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Understanding and interpreting how machine learning (ML) models make dec...
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05/23/2017