Field dossier · from the corpus
Adversary
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
On Assessing ML Model Robustness: A Methodological Framework (Academic Track)
Practical Black-Box Attacks against Machine Learning
Adversarial Examples for Evaluating Reading Comprehension Systems
Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends
VerifyNet: Secure and Verifiable Federated Learning
Adversarial Learning for Neural Dialogue Generation
Recent work · 2024 onward