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researcher

Jun Dai

12 papers hereh-index 344 citations24 works total

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

author position
  • middle author8
  • last author3

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CR10
  • cs.CL1
  • cs.IR1
same name
  • Jun Dai — 11 papers, h 1
  • Jun Dai — 3 papers, h 2
  • Jun Dai — 2 papers, h 1
  • Jun Dai — 1 paper, h 0
  • Jun Dai — 1 paper, h 2
  • Jun Dai — 1 paper, h 2

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 citedEMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel

2 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing 2024 · cs.CRShow all

4 papers · 2 filters

cs.CR2024

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis

Xue Tan, Hao Luan, Mingyu Luo +3

Retrieval-Augmented Generation (RAG) enriches the input to LLMs by retrieving information from the relevant knowledge database, enabling them to produce responses that are more acc…

cs.CR2024

Enabling Practical and Privacy-Preserving Image Processing

Chao Wang, Shubing Yang, Xiaoyan Sun +2

Fully Homomorphic Encryption (FHE) enables computations on encrypted data, preserving confidentiality without the need for decryption. However, FHE is often hindered by significant…

cs.CR2024

HuntFUZZ: Enhancing Error Handling Testing through Clustering Based Fuzzing

Jin Wei, Ping Chen, Jun Dai +4

Testing a program's capability to effectively handling errors is a significant challenge, given that program errors are relatively uncommon. To solve this, Software Fault Injection…

cs.CR2024

SQLaser: Detecting DBMS Logic Bugs with Clause-Guided Fuzzing

Jin Wei, Ping Chen, Kangjie Lu +2

Database Management Systems (DBMSs) are vital components in modern data-driven systems. Their complexity often leads to logic bugs, which are implementation errors within the DBMSs…

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