1 citations · 1 across the 6 of their papers we have counts for
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Domain Bridge: Generative model-based domain forensic for black-box models
Jiyi Zhang, Han Fang, Ee-Chien Chang
In forensic investigations of machine learning models, techniques that determine a model's data domain play an essential role, with prior work relying on large-scale corpora like I…
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
Jiyi Zhang, Han Fang, Ee-Chien Chang
In the seller-buyer setting on machine learning models, the seller generates different copies based on the original model and distributes them to different buyers, such that advers…
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Jiyi Zhang, Han Fang, Hwee Kuan Lee +1
Given a poorly documented neural network model, we take the perspective of a forensic investigator who wants to find out the model's data domain (e.g. whether on face images or tra…
Flipped-Adversarial AutoEncoders
Jiyi Zhang, Hung Dang, Hwee Kuan Lee +1
We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an en…