1 option
Adversarial AI and data poisoning in federated learning / edited by: Vipul Jain, Shikha Khullar, Manju Lata Joshi, Deepak Kumar Jain.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Federated learning (Machine learning).
- Generative adversarial networks (Computer networks).
- Physical Description:
- 1 online resource.
- Place of Publication:
- Hershey PA : IGI Global Scientific Publishing, [2026]
- Contents:
- Emerging research challenges and future directions in secure federated learning / Selvakumar P
- Quantitative risk assessment attack success rate, availability degradation, and model integrity in federated learning / Syed Faisal, Wasim Khan, Mohammad Ishrat
- Multimodal federated learning and its security implications / Ponnusamy Vijayakumar, Nandini Manickam
- Federated adversarial transfer learning : opportunities and risks / Sanjeev Kumar, Geeta Tiwari, Laxmikant Sagar
- Defense strategies for federated learning models targeted by data poisoning attacks / Monika Kumari, Nikhil Kumar Goyal, Shikha Khullar.
- Notes:
- Includes bibliographical references.
- Electronic reproduction. Hershey, Pa. Available via World Wide Web.
- Description based on print version record.
- Other Format:
- Online version Adversarial AI and data poisoning in federated learning
- ISBN:
- 9798337362274 (electronic bk.)
- Publisher Number:
- 90104858653
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.