ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks
Authors: Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, Robert Mullins | Published: 2022-09-30 | Updated: 2024-03-01
バックドア攻撃
Augmentation Backdoors
Authors: Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert Mullins | Published: 2022-09-29
SNAP: Efficient Extraction of Private Properties with Poisoning
Authors: Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan Ullman | Published: 2022-08-25 | Updated: 2023-06-21
An anomaly detection approach for backdoored neural networks: face recognition as a case study
Authors: Alexander Unnervik, Sébastien Marcel | Published: 2022-08-22
A Knowledge Distillation-Based Backdoor Attack in Federated Learning
Authors: Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li | Published: 2022-08-12
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