---
title: "Micah Goldblum — papers of 2023 — Elamur Research"
description: "Micah Goldblum — 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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# Micah Goldblum — papers of 2023 — Elamur Research

3 papers · [all years of Micah Goldblum](https://md.research.elamur.ai/free/en/authors/micah-goldblum/#years)

- [Baseline Defenses for Adversarial Attacks Against Aligned Language Models arXiv:2309.00614](https://md.research.elamur.ai/free/en/papers/jain-2023-baseline-defenses-adversarial-attacks-against/) — Neel Jain, Avi Schwarzschild, Yuxin Wen, et al. · 2023 · 236 citations

**[Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery](https://md.research.elamur.ai/free/en/papers/wen-2023-hard-prompts-made-easy-gradient/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxin Wen, Neel Jain, John Kirchenbauer, et al.*2023 · 141 citations*

- [On the Reliability of Watermarks for Large Language Models arXiv:2306.04634](https://md.research.elamur.ai/free/en/papers/kirchenbauer-2023-reliability-watermarks-large-language-models/) — John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al. · 2023 · 103 citations