Open SESAME: Fighting Botnets with Seed Reconstructions of Domain Generation Algorithms
Authors: Nils Weissgerber, Thorsten Jenke, Elmar Padilla, Lilli Bruckschen | Published: 2023-01-12
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Authors: Maxwell Standen, Junae Kim, Claudia Szabo | Published: 2023-01-11
Chatbots in a Honeypot World
Authors: Forrest McKee, David Noever | Published: 2023-01-10
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
Authors: Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot | Published: 2023-01-09 | Updated: 2023-04-12
Efficient Attack Detection in IoT Devices using Feature Engineering-Less Machine Learning
Authors: Arshiya Khan, Chase Cotton | Published: 2023-01-09
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak Detection
Authors: Jordan Samhi, Maria Kober, Abdoul Kader Kabore, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein | Published: 2023-01-09 | Updated: 2023-01-11
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Authors: Karla Pizzi, Franziska Boenisch, Ugur Sahin, Konstantin Böttinger | Published: 2023-01-09
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Authors: Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu | Published: 2023-01-07
Linear and non-linear machine learning attacks on physical unclonable functions
Authors: Michael Lachner | Published: 2023-01-06
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Authors: Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim | Published: 2023-01-06 | Updated: 2024-01-24