mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications
Authors: David Monschein, Oliver P. Waldhorst | Published: 2022-10-07
脅威モデル
Threat Assessment in Machine Learning based Systems
Authors: Lionel Nganyewou Tidjon, Foutse Khomh | Published: 2022-06-30
Architectural Backdoors in Neural Networks
Authors: Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot | Published: 2022-06-15
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
Authors: Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein | Published: 2022-05-20 | Updated: 2024-09-09
ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
Authors: Md. Monowar Anjum, Shahrear Iqbal, Benoit Hamelin | Published: 2021-12-21
Collaborative Information Sharing for ML-Based Threat Detection
Authors: Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack Davidson | Published: 2021-04-23
Robustness of ML-Enhanced IDS to Stealthy Adversaries
Authors: Vance Wong, John Emanuello | Published: 2021-04-21
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
Authors: Luca Pajola, Mauro Conti | Published: 2021-04-13
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Authors: Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath | Published: 2021-04-05