A Knowledge Distillation-Based Backdoor Attack in Federated Learning
Authors: Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li | Published: 2022-08-12
Backdoor Attack
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2022-07-26
Federated Unlearning: How to Efficiently Erase a Client in FL?
Authors: Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo | Published: 2022-07-12 | Updated: 2023-10-20
Ransomware Classification and Detection With Machine Learning Algorithms
Authors: Mohammad Masum, Md Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Muhaiminul Islam Adnan | Published: 2022-07-02
A Deep Learning Approach to Create DNS Amplification Attacks
Authors: Jared Mathews, Prosenjit Chatterjee, Shankar Banik, Cory Nance | Published: 2022-06-29
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