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10/17/2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning
Federated learning is particularly susceptible to model poisoning and ba...
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05/20/2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Deep learning is increasingly moving towards a transfer learning paradig...
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03/15/2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification
As the deployment of automated face recognition (FR) systems proliferate...
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12/12/2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Adversarial training (AT) is considered to be one of the most reliable d...
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12/09/2021
Mutual Adversarial Training: Learning together is better than going alone
Recent studies have shown that robustness to adversarial attacks can be ...
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10/13/2021
Identification of Attack-Specific Signatures in Adversarial Examples
The adversarial attack literature contains a myriad of algorithms for cr...
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06/16/2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
As the curation of data for machine learning becomes increasingly automa...
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09/24/2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Building on the success of deep learning, Generative Adversarial Network...
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06/14/2020
An adversarial learning algorithm for mitigating gender bias in face recognition
State-of-the-art face recognition networks implicitly encode gender info...
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10/07/2019