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05/16/2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
We revisit the common practice of evaluating adaptation of Online Contin...
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03/23/2023
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs
In this paper we investigate the frequency sensitivity of Deep Neural Ne...
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03/20/2023
Computationally Budgeted Continual Learning: What Does Matter?
Continual Learning (CL) aims to sequentially train models on streams of ...
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02/02/2023
Real-Time Evaluation in Online Continual Learning: A New Paradigm
Current evaluations of Continual Learning (CL) methods typically assume ...
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01/03/2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Deep neural networks (DNNs) are vulnerable to a class of attacks called ...
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09/29/2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Recent progress in empirical and certified robustness promises to delive...
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06/09/2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point...
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09/12/2021
