Don't Forget to Sign the Gradients!
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2021
- MLSys 2021
Conference paper
Publications
228 results for Adversarial Robustness and Privacy
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- Syed Zawad
- Ahsan Ali
- et al.
- 2021
- AAAI 2021
Conference paperFast Training of Provably Robust Neural Networks by SingleProp
- Akhilan Boopathy
- Tsui-Wei Weng
- et al.
- 2021
- AAAI 2021
Conference paperSelf-Progressing Robust Training
- Minhao Cheng
- Pin-Yu Chen
- et al.
- 2021
- AAAI 2021
Conference paperAdaptive Verifiable Training Using Pairwise Class Similarity
- Shiqi Wang
- Kevin Eykholt
- et al.
- 2021
- AAAI 2021
Conference paperFake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
- Maurício Gruppi
- Sibel Adalı
- et al.
- 2021
- AAAI 2021
Conference paperNeural belief reasoner
- Haifeng Qian
- 2021
- IJCAI 2020
Conference paperDetecting adversarial attacks via subset scanning of autoencoder activations and reconstruction error
- Celia Cintas
- Skyler Speakman
- et al.
- 2021
- IJCAI 2020
Conference paperSimulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
- Joel Dapello
- Tiago Marques
- et al.
- 2020
- NeurIPS 2020
Conference paperHigher-Order Certification For Randomized Smoothing
- Jeet Mohapatra; Ching-Yun Ko
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Conference paper