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Bing Zhang

8 papers hereh-index 434 citations11 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CR2
  • cs.LG2
  • cs.CL1
  • cs.SE1
same name
  • Bing Zhang — 385 papers, h 88
  • Bing Zhang — 27 papers, h 20
  • Bing Zhang — 25 papers
  • Bing Zhang — 21 papers, h 7
  • Bing Zhang — 14 papers, h 11
  • Bing Zhang — 11 papers, h 44

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
20242026
most citedAdaptive PII Mitigation Framework for Large Language Models

2 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.AI2025

STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls

Shubhi Asthana, Bing Zhang, Chad DeLuca +2

The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable mul…

cs.CR2025

OneShield -- the Next Generation of LLM Guardrails

Chad DeLuca, Anna Lisa Gentile, Shubhi Asthana +7

The rise of Large Language Models has created a general excitement about the great potential for a myriad of applications. While LLMs offer many possibilities, questions about safe…

cs.LG2025★ 2 cited

Adaptive PII Mitigation Framework for Large Language Models

Shubhi Asthana, Ruchi Mahindru, Bing Zhang +1

Artificial Intelligence (AI) faces growing challenges from evolving data protection laws and enforcement practices worldwide. Regulations like GDPR and CCPA impose strict complianc…

cs.CR2025★ 1 cited

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications

Shubhi Asthana, Bing Zhang, Ruchi Mahindru +3

The adoption of Large Language Models (LLMs) has revolutionized AI applications but poses significant challenges in safeguarding user privacy. Ensuring compliance with privacy regu…

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