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Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge.

F. Mireshghallah, M. Taram, P. Ramrakhyani, D. Tullsen, and H. Esmaeilzadeh. CoRR, (2019)

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Benchmarking Differential Privacy and Federated Learning for BERT Models.P. Basu, T. Roy, R. Naidu, Z. Müftüoglu, S. Singh, and F. Mireshghallah. CoRR, (2021)Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.F. Mireshghallah, K. Goyal, A. Uniyal, T. Berg-Kirkpatrick, and R. Shokri. EMNLP, page 8332-8347. Association for Computational Linguistics, (2022)An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.F. Mireshghallah, A. Uniyal, T. Wang, D. Evans, and T. Berg-Kirkpatrick. EMNLP, page 1816-1826. Association for Computational Linguistics, (2022)Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.A. Elthakeb, P. Pilligundla, F. Mireshghallah, T. Elgindi, C. Deledalle, and H. Esmaeilzadeh. CoRR, (2020)Non-Parametric Temporal Adaptation for Social Media Topic Classification.F. Mireshghallah, N. Vogler, J. He, O. Florez, A. El-Kishky, and T. Berg-Kirkpatrick. CoRR, (2022)Privacy-Preserving Domain Adaptation of Semantic Parsers.F. Mireshghallah, Y. Su, T. Hashimoto, J. Eisner, and R. Shin. ACL (1), page 4950-4970. Association for Computational Linguistics, (2023)Shredder: Learning Noise Distributions to Protect Inference Privacy.F. Mireshghallah, M. Taram, P. Ramrakhyani, A. Jalali, D. Tullsen, and H. Esmaeilzadeh. ASPLOS, page 3-18. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness.F. Mireshghallah, and T. Berg-Kirkpatrick. EMNLP (1), page 2009-2022. Association for Computational Linguistics, (2021)Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation.X. Tang, R. Shin, H. Inan, A. Manoel, F. Mireshghallah, Z. Lin, S. Gopi, J. Kulkarni, and R. Sim. ICLR, OpenReview.net, (2024)DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?A. Uniyal, R. Naidu, S. Kotti, S. Singh, P. Kenfack, F. Mireshghallah, and A. Trask. CoRR, (2021)

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Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge.

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Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge.