What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples

2 code implementations • 19 Sep 2023 • Shakila Mahjabin Tonni, Mark Dras

Adversarial examples, deliberately crafted using small perturbations to fool deep neural networks, were first studied in image processing and more recently in NLP.

Data and Model Dependencies of Membership Inference Attack

1 code implementation • 17 Feb 2020 • Shakila Mahjabin Tonni, Dinusha Vatsalan, Farhad Farokhi, Dali Kaafar, Zhigang Lu, Gioacchino Tangari

Our results reveal the relationship between MIA accuracy and properties of the dataset and training model in use.

Fairness Inference Attack +2