Anonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
Workshop paper
Publications
122 results for Data and AI Security
Data Minimization for GDPR Compliance in Machine Learning Models
- Abigail Goldsteen
- Gilad Ezov
- et al.
- 2021
- AI and Ethics
PaperSecure k-Anonymization over Encrypted Databases
- Manish Kesarwani
- Akshar Kaul
- et al.
- 2021
- CLOUD 2021
Conference paperPerun: Confidential Multi-Stakeholder Machine Learning Framework with Hardware Acceleration Support
- Wojciech Ozga
- Do Le Quoc
- et al.
- 2021
- IFIP DBSec 2021
Conference paperTIFF: Tokenized Incentive for Federated Learning
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- CLOUD 2022
Conference paperMeta Federated Learning
- Omid Aramoon
- Gang Qu
- et al.
- 2021
- ICLR 2021
Workshop paperCurse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- Syed Zawad
- Ahsan Ali
- et al.
- 2021
- AAAI 2021
Conference paperAdaptive Verifiable Training Using Pairwise Class Similarity
- Shiqi Wang
- Kevin Eykholt
- et al.
- 2021
- AAAI 2021
Conference paperAddressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
Workshop paperA Study on the Security Implications of Information Leakages in Container Clouds
- Xing Gao
- Benjamin Steenkamer
- et al.
- 2021
- IEEE TDSC
Paper