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Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.

A. Carranza, R. Farahani, N. Ponomareva, A. Kurakin, M. Jagielski, and M. Nasr. CoRR, (2023)

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Nasr Emhemmed Ali Milad Shtawa

Milad Mehdianpour

Milad Kassem

Mirjam Milad

Milad Maroun

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Privacy Side Channels in Machine Learning Systems.E. Debenedetti, G. Severi, N. Carlini, C. Choquette-Choo, M. Jagielski, M. Nasr, E. Wallace, and F. Tramèr. CoRR, (2023)Private Fine-tuning of Large Language Models with Zeroth-order Optimization.X. Tang, A. Panda, M. Nasr, S. Mahloujifar, and P. Mittal. CoRR, (2024)Are aligned neural networks adversarially aligned?N. Carlini, M. Nasr, C. Choquette-Choo, M. Jagielski, I. Gao, A. Awadalla, P. Koh, D. Ippolito, K. Lee, F. Tramèr and 1 other author(s). CoRR, (2023)Scalable Extraction of Training Data from (Production) Language Models.M. Nasr, N. Carlini, J. Hayase, M. Jagielski, A. Cooper, D. Ippolito, C. Choquette-Choo, E. Wallace, F. Tramèr, and K. Lee. CoRR, (2023)Machine Learning with Membership Privacy using Adversarial Regularization.M. Nasr, R. Shokri, and A. Houmansadr. ACM Conference on Computer and Communications Security, page 634-646. ACM, (2018)Blind Adversarial Network Perturbations.M. Nasr, A. Bahramali, and A. Houmansadr. CoRR, (2020)Extracting Training Data from Diffusion Models.N. Carlini, J. Hayes, M. Nasr, M. Jagielski, V. Sehwag, F. Tramèr, B. Balle, D. Ippolito, and E. Wallace. USENIX Security Symposium, page 5253-5270. USENIX Association, (2023)Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture.X. Tang, S. Mahloujifar, L. Song, V. Shejwalkar, M. Nasr, A. Houmansadr, and P. Mittal. USENIX Security Symposium, page 1433-1450. USENIX Association, (2022)Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising.M. Nasr, R. Shokri, and A. Houmansadr. CoRR, (2020)Stealing Part of a Production Language Model.N. Carlini, D. Paleka, K. Dvijotham, T. Steinke, J. Hayase, A. Cooper, K. Lee, M. Jagielski, M. Nasr, A. Conmy and 3 other author(s). CoRR, (2024)

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Disambiguation of "Nasr, Milad"

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Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.

Please choose a person to relate this publication to

Nasr Emhemmed Ali Milad Shtawa

Milad Mehdianpour

Milad Kassem

Mirjam Milad

Milad Maroun

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nasr, Milad"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.

Please choose a person to relate this publication to

Nasr Emhemmed Ali Milad Shtawa

Milad Mehdianpour

Milad Kassem

Mirjam Milad

Milad Maroun

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.