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05/28/2022
Contributor-Aware Defenses Against Adversarial Backdoor Attacks
Deep neural networks for image classification are well-known to be vulne...
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02/09/2022
False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger
In this brief, we show that sequentially learning new information presen...
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05/28/2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
Most studies on learning from noisy labels rely on unrealistic models of...
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02/16/2021
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models
Continual (or "incremental") learning approaches are employed when addit...
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02/11/2021
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
As larger and more comprehensive datasets become standard in contemporar...
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11/26/2020
Comparative Analysis of Extreme Verification Latency Learning Algorithms
One of the more challenging real-world problems in computational intelli...
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02/17/2020
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
Artificial neural networks are well-known to be susceptible to catastrop...
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02/20/2018
