Ramtin Pedarsani
3 papers in the PaperMetrix corpus
Papers by this author
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Robust Adversarial Learning via Sparsifying Front Ends
2018 · arXiv (Cornell University)
It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks. In this paper, we take a bottom-up signal processing perspective to this problem and show that a systematic …
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Polarizing Front Ends for Robust Cnns
2020
The vulnerability of deep neural networks to small, adversarially designed perturbations can be attributed to their "excessive linearity." In this paper, we propose a bottom-up strategy for attenuating adversarial perturbations using a nonlinear front end …
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The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
2023 · arXiv (Cornell University)
Modern data aggregation often involves a platform collecting data from a network of users with various privacy options. Platforms must solve the problem of how to allocate incentives to users to convince them to share …