A Deep Learning Approach to Create DNS Amplification Attacks
Authors: Jared Mathews, Prosenjit Chatterjee, Shankar Banik, Cory Nance | Published: 2022-06-29
Backdoor Attack
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Authors: Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo | Published: 2022-05-31 | Updated: 2022-08-12
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
Authors: Harsh Chaudhari, Matthew Jagielski, Alina Oprea | Published: 2022-05-20 | Updated: 2022-09-08
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Authors: Zhixin Pan, Prabhat Mishra | Published: 2022-05-18
Backdooring Explainable Machine Learning
Authors: Maximilian Noppel, Lukas Peter, Christian Wressnegger | Published: 2022-04-20
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Authors: Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique | Published: 2022-04-18
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
Authors: Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar | Published: 2022-04-08
Breaking the De-Pois Poisoning Defense
Authors: Alaa Anani, Mohamed Ghanem, Lotfy Abdel Khaliq | Published: 2022-04-03
Distributed data analytics
Authors: Richard Mortier, Hamed Haddadi, Sandra Servia, Liang Wang | Published: 2022-03-26
Dynamic Backdoors with Global Average Pooling
Authors: Stefanos Koffas, Stjepan Picek, Mauro Conti | Published: 2022-03-04