Referenced Papers

 “Why Should I Trust You?” Explaining the Predictions of Any Classifier - Ribeiro, Singh, Guestrin
Synthesizing Robust Adversarial Examples - Anish Athalye, Logan Engstrom, Andrew Ilyas, Kevin Kwok
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition - Sharif, Bhagavatula, Bauer, Reiter
How To Backdoor Federated Learning - Bagdasaryan, Veit, Hua, Estrin, Shmatikov
Learning to Detect Malicious Clients for Robust Federated Learning - Li, Cheng, Wang, Liu, Chen
“High Accuracy and High Fidelity Extraction of Neural Networks” - Jagielski, Carlini, Berthelot, Kurakin, Papernot
‘Thieves on Sesame Street! Model Extraction of BERT-based APIs’ - Krishna, Tomar, Parikh, Papernot and Iyyer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Devlin, Chang, Lee, Toutanova
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Carlini, Liu, Erlingsson, Kos, Song