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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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04/22/2022
Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions
Gene/protein interactions provide critical information for a thorough un...
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04/22/2022
Gene Function Prediction with Gene Interaction Networks: A Context Graph Kernel Approach
Predicting gene functions is a challenge for biologists in the post geno...
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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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08/03/2021
Linking Common Vulnerabilities and Exposures to the MITRE ATT CK Framework: A Self-Distillation Approach
Due to the ever-increasing threat of cyber-attacks to critical cyber inf...
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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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10/07/2020