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P. Natarajan

47 papers hereh-index 418.2k citations214 works total

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

author position
  • middle author14
  • last author30

Across the 44 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • cs.CL11
  • cs.LG6
  • cs.MM4
  • stat.ML4
  • cs.CR1
same name
  • P. Natarajan — 193 papers, h 66
  • P. Natarajan — 21 papers, h 11
  • P. Natarajan — 20 papers, h 5
  • P. Natarajan — 8 papers, h 20
  • P. Natarajan — 8 papers, h 7
  • P. Natarajan — 1 paper, h 16

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
20112023
most citedShannon Entropy based Randomness Measurement and Test for Image Encryption

728 citations · 1.7k across the 39 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

Class-agnostic Object Detection

Ayush Jaiswal, Yue Wu, Pradeep Natarajan +1

Object detection models perform well at localizing and classifying objects that they are shown during training. However, due to the difficulty and cost associated with creating and…

cs.MM2020

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed +1

Fake news often involves semantic manipulations across modalities such as image, text, location etc and requires the development of multimodal semantic forensics for its detection.…

cs.CL2020★ 2 cited

"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1

Ad hominem attacks are those that target some feature of a person's character instead of the position the person is maintaining. These attacks are harmful because they propagate im…

cs.CL2020★ 11 cited

Towards Controllable Biases in Language Generation

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1

We present a general approach towards controllable societal biases in natural language generation (NLG). Building upon the idea of adversarial triggers, we develop a method to indu…

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