---
title: "Milad Nasr — papers of 2023 — 3 papers, the most cited first"
description: "Milad Nasr — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Milad Nasr — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Milad Nasr](https://md.research.elamur.ai/free/en/authors/milad-nasr/#years)

- [Universal and Transferable Adversarial Attacks on Aligned Language Models arXiv:2307.15043](https://md.research.elamur.ai/free/en/papers/zou-2023-universal-transferable-adversarial-attacks-aligned/) — Andy Zou, Zifan Wang, Nicholas Carlini, et al. · 2023 · 1,005 citations
- [Scalable Extraction of Training Data from (Production) Language Models arXiv:2311.17035](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/) — Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al. · 2023 · 211 citations

**[Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Daphne Ippolito, Florian Tramer, Milad Nasr, et al.*2023 · 68 citations*