Usenix Security '23 - Xnids: Explaining Deep Learning-Based Network Intrusion Detection Systems...

USENIX Security '23 - xNIDS: Explaining Deep Learning-based Network Intrusion Detection Systems...

USENIX Security '23 - Generative Intrusion Detection and Prevention on Data Stream

USENIX Security '23 - Network Detection of Interactive SSH Impostors Using Deep Learning

USENIX Security '24 - How Does a Deep Learning Model Architecture Impact Its Privacy?...

USENIX Security '23 - An Input-Agnostic Hierarchical Deep Learning Framework for Traffic...

USENIX Security '23 - IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

USENIX Security '23 - Person Re-identification in 3D Space: A WiFi Vision-based Approach

USENIX Security '23 - Tubes Among Us: Analog Attack on Automatic Speaker Identification

USENIX Security '16 - Specification Mining for Intrusion Detection in Networked Control Systems

USENIX Security '23 - Automated Security Analysis of Exposure Notification Systems

USENIX Security '16 - Fingerprinting Electronic Control Units for Vehicle Intrusion Detection

USENIX Security '23 - RIDAS: Real-time identification of attack sources on controller area networks

USENIX Security '21 - CADE: Detecting and Explaining Concept Drift Samples for Security Applications

USENIX Security '23 - ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks

USENIX Security '23 - Aliasing Backdoor Attacks on Pre-trained Models

USENIX Security '20 - High Accuracy and High Fidelity Extraction of Neural Networks

USENIX Security '21 - Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify

USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction

USENIX Security '23 - Knowledge Expansion and Counterfactual Interaction for Reference-Based...