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cs.LG2025
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
Yuval Golbari, Navve Wasserman, Gal Vardi +1
Determining which data samples were used to train a model, known as Membership Inference Attack (MIA), is a well-studied and important problem with implications on data privacy. So…
cs.LG2024
Reconstructing Training Data From Real World Models Trained with Transfer Learning
Yakir Oz, Gilad Yehudai, Gal Vardi +3
Current methods for reconstructing training data from trained classifiers are restricted to very small models, limited training set sizes, and low-resolution images. Such restricti…