Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX [PDF]
Jonas Rauber +3 more
openalex +1 more source
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models [PDF]
Tochukwu Idika, İsmail Aktürk
openalex +1 more source
A moving target defense against adversarial machine learning [PDF]
Abhishek Roy +3 more
openalex +1 more source
Roadmap of Adversarial Machine Learning in Internet of Things-Enabled Security Systems. [PDF]
Harbi Y +4 more
europepmc +1 more source
Detection of GPS Spoofing Attacks in UAVs Based on Adversarial Machine Learning Model. [PDF]
Alhoraibi L, Alghazzawi D, Alhebshi R.
europepmc +1 more source
Adversarial-residual-coarse-graining: Applying machine learning theory to systematic molecular coarse-graining [PDF]
Aleksander E. P. Durumeric +1 more
openalex +1 more source
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine\n Learning [PDF]
Ibrahim Yilmaz, Ambareen Siraj
openalex +1 more source
RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic. [PDF]
Alkadi S, Al-Ahmadi S, Ben Ismail MM.
europepmc +1 more source

