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04/07/2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Selective prediction aims to learn a reliable model that abstains from m...
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03/14/2023
Is forgetting less a good inductive bias for forward transfer?
One of the main motivations of studying continual learning is that the p...
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03/04/2022
Concept-based Explanations for Out-Of-Distribution Detectors
Out-of-distribution (OOD) detection plays a crucial role in ensuring the...
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11/19/2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Intelligent Internet of Things (IoT) systems based on deep neural networ...
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02/17/2020
Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
We present Survival-OPT, a physical adversarial example algorithm in the...
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02/06/2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples
Adversarial examples that can fool deep models are mainly crafted by add...
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05/23/2019
Robust Attribution Regularization
An emerging problem in trustworthy machine learning is to train models t...
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05/20/2018
Improving Adversarial Robustness by Data-Specific Discretization
A recent line of research proposed (either implicitly or explicitly) gra...
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12/21/2017
