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Ee-Chien Chang

25 papers hereh-index 11537 citations33 works total

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

author position
  • middle author7
  • last author16

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.CR8
  • cs.LG4
  • cs.AI2
  • cs.CL1
same name
  • Ee-Chien Chang — 8 papers, h 5
  • Ee-Chien Chang — 4 papers, 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
20232026
most citedRevisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift

3 citations · 13 across the 22 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

LEAF: LUT-aware Efficient Attention on FPGAs

Arianna Cox, Chang Sun, Lauri Laatu +7

We introduce Lookup-table (LUT)-aware Efficient Attention on FPGAs (LEAF). LEAF is the first nanosecond-scale LUT-aware transformer for FPGAs. Deploying transformers that are large…

cs.LG2025

Label Forensics: Interpreting Hard Labels in Black-Box Text Classifier

Mengyao Du, Gang Yang, Han Fang +2

The widespread adoption of natural language processing techniques has led to an unprecedented growth of text classifiers across the modern web. Yet many of these models circulate w…

cs.LG2025

Lie Detector: Unified Backdoor Detection via Cross-Examination Framework

Xuan Wang, Siyuan Liang, Dongping Liao +6

Institutions with limited data and computing resources often outsource model training to third-party providers in a semi-honest setting, assuming adherence to prescribed training p…

cs.LG2024

Domain Bridge: Generative model-based domain forensic for black-box models

Jiyi Zhang, Han Fang, Ee-Chien Chang

In forensic investigations of machine learning models, techniques that determine a model's data domain play an essential role, with prior work relying on large-scale corpora like I…

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