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Shashank Kotyan
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Adversarial robustness assessment: Why in evaluation both L0 and L attacks are necessary
S Kotyan, DV Vargas
Plos one 17 (4), e0265723, 2022
56*2022
Towards evolving robust neural architectures to defend from adversarial attacks
S Kotyan, DV Vargas
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
40*2020
Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network
S Tripathi, A Upadhyay, S Kotyan, S Yadav
Wireless Personal Communications 104 (3), 1175-1208, 2019
172019
Transferability of features for neural networks links to adversarial attacks and defences
S Kotyan, M Matsuki, DV Vargas
PloS one 17 (4), e0266060, 2022
4*2022
Deep neural network loses attention to adversarial images
S Kotyan, DV Vargas
arXiv preprint arXiv:2106.05657, 2021
42021
Self Training Autonomous Driving Agent
S Kotyan, DV Vargas, U Venkanna
2019 58th Annual Conference of the Society of Instrument and Control …, 2019
42019
Drishtikon: An advanced navigational aid system for visually impaired people
S Kotyan, U Venkanna, N Kumar, PK Sahu
2018 Conference on Information and Communication Technology (CICT), 1-6, 2018
32018
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
S Kotyan
arXiv preprint arXiv:2308.03363, 2023
22023
HAUAR: Home Automation Using Action Recognition
S Kotyan, N Kumar, PK Sahu, U Venkanna
2018 Conference on Information and Communication Technology (CICT), 1-6, 2018
22018
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
M Po-Yuan, S Kotyan, TY Foong, DV Vargas
arXiv preprint arXiv:2312.11473, 2023
12023
The Challenges of Image Generation Models in Generating Multi-Component Images
TY Foong, S Kotyan, PY Mao, DV Vargas
arXiv preprint arXiv:2311.13620, 2023
12023
Is Neural Architecture Search A Way Forward to Develop Robust Neural Networks?
S Kotyan, DV Vargas
人工知能学会全国大会論文集 第 34 回 (2020), 2K1ES203-2K1ES203, 2020
12020
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions
S Kotyan, PY Mao, DV Vargas
arXiv preprint arXiv:2402.04699, 2024
2024
Improving robustness for vision transformer with a simple dynamic scanning augmentation
S Kotyan, DV Vargas
Neurocomputing 565, 127000, 2024
2024
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
S Kotyan, U Tatsuya, DV Vargas
arXiv preprint arXiv:2312.04024, 2023
2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
S Kotyan, DV Vargas
arXiv preprint arXiv:2311.10177, 2023
2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
S Kotyan, DV Vargas
arXiv preprint arXiv:2311.07928, 2023
2023
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