Media Summary: A World Where We Trust Hard-Won Lessons in Digital Discrimination of Users in Sanctioned States: The Case of the Cuba Embargo Anna Ablove, Shreyas Chandrashekaran, ... MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious
Usenix Security 24 How Does - Detailed Analysis & Overview
A World Where We Trust Hard-Won Lessons in Digital Discrimination of Users in Sanctioned States: The Case of the Cuba Embargo Anna Ablove, Shreyas Chandrashekaran, ... MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice Tushar Nayan, ... FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example Detection Method for Speaker Recognition Kun Wang, ...
SIMurai: Slicing Through the Complexity of SIM Card Formalizing and Benchmarking Prompt Injection Attacks and Defenses Yupei Liu, The Pennsylvania State University; Yuqi Jia, ... IoT Market Dynamics: An Analysis of Device Sales, On a Collision Course: Unveiling Wireless Attacks to the Aircraft Traffic Collision Avoidance System (TCAS) Giacomo Longo, ... "But they have overlooked a few things in Afghanistan:" An Analysis of the Integration of Biometric Voter Verification in the 2019 ... OPTIKS: An Optimized Key Transparency System Julia Len, Cornell Tech; Melissa Chase, Esha Ghosh, Kim Laine, and Radames ...
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning Zian Jia and Yun Xiong, Shanghai ...
