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researcher

S. VivekB.

5 papers hereh-index 8366 citations12 works total

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

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedRegularizers for Single-step Adversarial Training

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2020

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes

Sravanti Addepalli, Vivek B. S., Arya Baburaj +2

As humans, we inherently perceive images based on their predominant features, and ignore noise embedded within lower bit planes. On the contrary, Deep Neural Networks are known to…

cs.CV2019

FDA: Feature Disruptive Attack

Aditya Ganeshan, B. S. Vivek, R. Venkatesh Babu

Though Deep Neural Networks (DNN) show excellent performance across various computer vision tasks, several works show their vulnerability to adversarial samples, i.e., image sample…

cs.CV2018

Gray-box Adversarial Training

Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu

Adversarial samples are perturbed inputs crafted to mislead the machine learning systems. A training mechanism, called adversarial training, which presents adversarial samples alon…

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