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 | 17 | 2019 |
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 | 4 | 2021 |
Self Training Autonomous Driving Agent S Kotyan, DV Vargas, U Venkanna 2019 58th Annual Conference of the Society of Instrument and Control …, 2019 | 4 | 2019 |
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 | 3 | 2018 |
A reading survey on adversarial machine learning: Adversarial attacks and their understanding S Kotyan arXiv preprint arXiv:2308.03363, 2023 | 2 | 2023 |
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 | 2 | 2018 |
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 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2020 |
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 |