IBM Federated Learning Community Edition: An Interactive Demonstration
- Laura Wynter
- 2020
- NeurIPS 2020
Publications
Date
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87 results for Data and AI Security
Helion: Enabling Natural Testing of Smart Homes
- Prianka Mandal
- Sunil Manandhar
- et al.
- 2023
- ESEC/FSE 2023
Tutorial-HEPack4ML '23: Advanced HE Packing Methods with Applications to ML
- Ehud Aharoni
- Nir Drucker
- et al.
- 2023
- CCS 2023
Addressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
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