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researcher

Daniel Kang

19 papers hereh-index 243k citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author8

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.DB7
  • cs.LG4
  • cs.CR3
  • cs.AI2
  • cs.CL1
  • cs.RO1
same name
  • Daniel Kang — 17 papers, h 7
  • Daniel Kang — 10 papers, h 7
  • Daniel Kang — 3 papers, h 2
  • Daniel Kang — 2 papers
  • Daniel Kang — 2 papers, h 3
  • Daniel Kang — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedMLPerf Training Benchmark

171 citations · 280 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.DB2023★ 9 cited

Accelerating Aggregation Queries on Unstructured Streams of Data

Matthew Russo, Tatsunori Hashimoto, Daniel Kang +2

Analysts and scientists are interested in querying streams of video, audio, and text to extract quantitative insights. For example, an urban planner may wish to measure congestion…

cs.AI2023

Identifying and Mitigating the Security Risks of Generative AI

Clark Barrett, Brad Boyd, Elie Burzstein +20

Every major technical invention resurfaces the dual-use dilemma -- the new technology has the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, s…

cs.DB2023

Dias: Dynamic Rewriting of Pandas Code

Stefanos Baziotis, Daniel Kang, Charith Mendis

In recent years, dataframe libraries, such as pandas have exploded in popularity. Due to their flexibility, they are increasingly used in ad-hoc exploratory data analysis (EDA) wor…

cs.CR2023★ 27 cited

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Daniel Kang, Xuechen Li, Ion Stoica +3

Recent advances in instruction-following large language models (LLMs) have led to dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same improved capab…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.