ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems

CommunityIEEE Symposium on Security and Privacy14 minOpen on YouTube ↗

Engineers explore architecture and security mechanisms for ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.

Summary

No summary yet — watch the video above, or open it on YouTube.

Related talks

IEEE Symposium on Security and Privacy·13 min

IEEE SP
Red Team
Date: 2024
Location: Ieee Sp

185 BadVFL backdoor attacks in vertical federated learning Mohammad Naseri

Analysts investigate attack surfaces and defenses concerning 185 BadVFL backdoor attacks in vertical federated learning Mohammad Naseri.

backdoorbadvflattack+3

IEEE Symposium on Security and Privacy·13 min

IEEE SP
Blue Team
Date: 2025
Location: Ieee Sp

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

Industry experts analyze emerging threats surrounding FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information.

fedrecoverrecoveringpoisoning+3

IEEE Symposium on Security and Privacy·15 min

IEEE SP
Hardware
Date: 2025
Location: Ieee Sp

RoFL: Robustness of Secure Federated Learning

Security researchers examine technical aspects of RoFL: Robustness of Secure Federated Learning.

robustnessroflrobustnes+2