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)
Adversarial Examples in the Physical World
Practical Black-Box Attacks against Machine Learning
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
Exploiting Unintended Feature Leakage in Collaborative Learning
Adversarial Examples for Evaluating Reading Comprehension Systems
Recent work · 2024 onward