FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Publications
Date
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88 results for Data and AI Security
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks
- Daniel Gibert
- Giulio Zizzo
- et al.
- 2023
- CCS 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- Nathalie Baracaldo Angel
- Farhan Ahmed
- et al.
- 2023
- S&P 2023
Boundary Adversarial Examples Against Adversarial Overfitting
- Muhammad Zaid Hameed
- Beat Buesser
- 2022
- NeurIPS 2022
Prune, Permute and Expand: Efficient Machine Learning under Non-Client-Aided Homomorphic Encryption
- Ehud Aharoni
- Moran Baruch
- et al.
- 2022
- MICRO 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- 2022
- ICML 2022
Meta Federated Learning
- Omid Aramoon
- Gang Qu
- et al.
- 2021
- ICLR 2021
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
- Nghia Hoang
- Lam Nguyen
- et al.
- 2021
- NeurIPS 2021
2nd Workshop on Data Integrity and Secure Cloud Computing (DISCC)
- Pradip Bose
- Jennifer Dworak
- et al.
- 2023
- MICRO 2023
1st Workshop on Data Integrity and Secure Cloud Computing (DISCC-2022)
- Pradip Bose
- Jennifer Dworak
- et al.
- 2022
- MICRO 2022