--- title: "Aniruddha Saha — author profile and papers in our library" description: "Aniruddha Saha: 3 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/aniruddha-saha/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aniruddha-saha/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aniruddha Saha # Aniruddha Saha Aniruddha Saha has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jonas Geiping](https://md.research.elamur.ai/free/en/authors/jonas-geiping/), [Micah Goldblum](https://md.research.elamur.ai/free/en/authors/micah-goldblum/), [Tom Goldstein](https://md.research.elamur.ai/free/en/authors/tom-goldstein/). 3 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/#papers) · [🔗 Cited 388 times in our library](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/cited-by/) · [⭐ Paper Stars ranking: #4458](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4458) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Aniruddha+Saha) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aniruddha+Saha) · [dblp](https://dblp.org/search?q=Aniruddha+Saha) · [ACL Anthology](https://aclanthology.org/search/?q=Aniruddha+Saha) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Baseline Defenses for Adversarial Attacks Against Aligned Language Models](https://md.research.elamur.ai/free/en/papers/jain-2023-baseline-defenses-adversarial-attacks-against/)** *(2023 · 236 citations)* Optimization-based jailbreaks, especially the universal, transferable suffix attack (GCG) of Zou et al. (2023), can automatically generate prompts that bypass the safety alignment of chat LLMs. These prompts can be crafted on open models and then used against API-only systems. The authors ask whether standard defense… 2. **[Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/hans-2024-spotting-llms-binoculars-zero-shot/)** *(2024 · 120 citations)* The paper addresses how to tell machine-written text from human writing when no examples from the generating model are available. 3. **[On the Reliability of Watermarks for Large Language Models](https://md.research.elamur.ai/free/en/papers/kirchenbauer-2023-reliability-watermarks-large-language-models/)** *(2023 · 103 citations)* Spotting machine-generated text helps limit spam, bot activity and contamination of future training data. Earlier watermark evaluations, however, mostly assumed the detector receives unmodified model output. This paper tests whether the green-list watermark of Kirchenbauer et al. (2023) survives realistic handling… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Jonas Geiping](https://md.research.elamur.ai/free/en/authors/jonas-geiping/) ×3 - [Micah Goldblum](https://md.research.elamur.ai/free/en/authors/micah-goldblum/) ×3 - [Tom Goldstein](https://md.research.elamur.ai/free/en/authors/tom-goldstein/) ×3 - [Avi Schwarzschild](https://md.research.elamur.ai/free/en/authors/avi-schwarzschild/) ×2 - [John Kirchenbauer](https://md.research.elamur.ai/free/en/authors/john-kirchenbauer/) ×2 - [Yuxin Wen](https://md.research.elamur.ai/free/en/authors/yuxin-wen/) ×2 - [Kezhi Kong](https://md.research.elamur.ai/free/en/authors/kezhi-kong/) - [Neel Jain](https://md.research.elamur.ai/free/en/authors/neel-jain/) ## Cited by Papers of our library cite their works 388 times (of the 149,439 papers whose bibliographies we read); [100 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/cited-by/). Updated 2 November 2026