Skip to content
View ebagdasa's full-sized avatar

Highlights

  • Pro

Organizations

@ancile-project

Block or report ebagdasa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. backdoor_federated_learning backdoor_federated_learning Public

    Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

    Python 273 64

  2. differential-privacy-vs-fairness differential-privacy-vs-fairness Public

    Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19

    Python 34 13

  3. ancile-project/ancile ancile-project/ancile Public

    Implementing use-based privacy for ubiquitous computing.

    Python 17 7

  4. federated_adaptation federated_adaptation Public

    Salvaging Federated Learning by Local Adaptation

    Python 56 15

  5. backdoors101 backdoors101 Public

    Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

    Python 336 82

  6. propaganda_as_a_service propaganda_as_a_service Public

    Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"

    Python 21 1