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USENIX Security '23 - PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In...
USENIX Security '23 - Aliasing Backdoor Attacks on Pre-trained Models
USENIX Security '23 - Secure Floating-Point Training
USENIX Security '23 - A Plot is Worth a Thousand Words: Model Information Stealing Attacks via...
USENIX Security '23 - Continuous Learning for Android Malware Detection
USENIX Security '23 - Discovering Adversarial Driving Maneuvers against Autonomous Vehicles
USENIX Security '23 - The Gates of Time: Improving Cache Attacks with Transient Execution
USENIX Security '23 - Two-in-One: A Model Hijacking Attack Against Text Generation Models
USENIX Security '23 - URET: Universal Robustness Evaluation Toolkit (for Evasion)
USENIX Security '23 - HOLMES: Efficient Distribution Testing for Secure Collaborative Learning
USENIX Security '23 - A Data-free Backdoor Injection Approach in Neural Networks
USENIX Security '23 - Tubes Among Us: Analog Attack on Automatic Speaker Identification