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02/17/2023
Measuring Equality in Machine Learning Security Defenses
The machine learning security community has developed myriad defenses fo...
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09/05/2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training
The quantification of uncertainty is important for the adoption of machi...
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05/04/2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Non-negative matrix factorization (NMF) with missing-value completion is...
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12/27/2021
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Learning to understand grounded language, which connects natural languag...
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09/23/2021
Adversarial Transfer Attacks With Unknown Data and Class Overlap
The ability to transfer adversarial attacks from one model (the surrogat...
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09/01/2020