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Sepehr Dehdashtian

Michigan State University

9 papers hereh-index 7172 citations12 works total

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

author position
  • first author7
  • middle author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • cs.CY1
  • cs.SD1
  • eess.SP1
affiliations
  • Michigan State University

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedDeep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions

42 citations · 70 across the 8 of their papers we have counts for

collaborators
Showing cs.SDShow all

1 paper · 1 filter

cs.SD2026

FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors

Sepehr Dehdashtian, Jacob H Seidman, Vishnu N Boddeti +1

Audio deepfake detection (ADD) models are critical for countering the malicious use of text-to-speech (TTS) models. Evaluating and strengthening ADD models requires developing data…

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