Revisiting IoT Device Identification
Authors: Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi | Published: 2021-07-16
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
Authors: Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed Zamzam | Published: 2021-07-14
On the impossibility of non-trivial accuracy under fairness constraints
Authors: Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia | Published: 2021-07-14 | Updated: 2021-11-23
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Authors: Sean Kulinski, Saurabh Bagchi, David I. Inouye | Published: 2021-07-14
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning
Authors: Jiacheng Liang, Songze Li, Bochuan Cao, Wensi Jiang, Chaoyang He | Published: 2021-07-12 | Updated: 2021-11-15
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
Authors: Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed | Published: 2021-07-12
Stateful Detection of Model Extraction Attacks
Authors: Soham Pal, Yash Gupta, Aditya Kanade, Shirish Shevade | Published: 2021-07-12
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
Authors: Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani, Aditya P. Mathur | Published: 2021-07-11
Adversarial for Good? How the Adversarial ML Community’s Values Impede Socially Beneficial Uses of Attacks
Authors: Kendra Albert, Maggie Delano, Bogdan Kulynych, Ram Shankar Siva Kumar | Published: 2021-07-11 | Updated: 2021-09-15
Hack The Box: Fooling Deep Learning Abstraction-Based Monitors
Authors: Sara Hajj Ibrahim, Mohamed Nassar | Published: 2021-07-10 | Updated: 2021-07-18