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09/07/2023
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
We introduce the ARMOR_D methods as novel approaches to enhancing the ad...
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04/07/2023
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
Federated learning introduces a novel approach to training machine learn...
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11/24/2022
Sequential Gradient Coding For Straggler Mitigation
In distributed computing, slower nodes (stragglers) usually become a bot...
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10/25/2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Deep learning-based adversarial malware detectors have yielded promising...
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01/08/2022
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
Automated monitoring of dark web (DW) platforms on a large scale is the ...
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12/03/2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
Deep Learning (DL)-based malware detectors are increasingly adopted for ...
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11/11/2021
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach
Internet users have been exposing an increasing amount of Personally Ide...
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12/14/2020
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model
Anti-malware engines are the first line of defense against malicious sof...
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06/10/2020
Time-Resolved fMRI Shared Response Model using Gaussian Process Factor Analysis
Multi-subject fMRI studies are challenging due to the high variability o...
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08/30/2019