Shashank Kotyan

23 papers Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	k* Distribution: Evaluating the Latent Space of Deep Neural Networks Using Local Neighborhood Analysis. IEEE Trans. Neural Networks Learn. Syst. Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas
2024	J	`jnl`	EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions. CoRR Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas
2024	J	`jnl`	Improving robustness for vision transformer with a simple dynamic scanning augmentation. Neurocomputing Shashank Kotyan, Danilo Vasconcellos Vargas
2024	J	`jnl`	Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models. CoRR Shashank Kotyan, Pin-Yu Chen, Danilo Vasconcellos Vargas
2023	J	`jnl`	A reading survey on adversarial machine learning: Adversarial attacks and their understanding. CoRR Shashank Kotyan
2023	J	`jnl`	Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation. CoRR Shashank Kotyan, Danilo Vasconcellos Vargas
2023	J	`jnl`	Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models. CoRR Poyuan Mao, Shashank Kotyan, Tham Yik Foong, Danilo Vasconcellos Vargas
2023	J	`jnl`	The Challenges of Image Generation Models in Generating Multi-Component Images. CoRR Tham Yik Foong, Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas
2023	J	`jnl`	Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. CoRR Shashank Kotyan, Danilo Vasconcellos Vargas
2023	J	`jnl`	Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. CoRR Shashank Kotyan, Danilo Vasconcellos Vargas
2023	J	`jnl`	k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis. CoRR Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas
2021	—	`conf`	Deep Neural Network Loses Attention to Adversarial Images. AISafety@IJCAI Shashank Kotyan, Danilo Vasconcellos Vargas
2021	J	`jnl`	Deep neural network loses attention to adversarial images. CoRR Shashank Kotyan, Danilo Vasconcellos Vargas
2020	—	`conf`	Evolving Robust Neural Architectures to Defend from Adversarial Attacks. AISafety@IJCAI Shashank Kotyan, Danilo Vasconcellos Vargas
2020	—	`conf`	Towards evolving robust neural architectures to defend from adversarial attacks. GECCO Companion Shashank Kotyan, Danilo Vasconcellos Vargas
2019	J	`jnl`	Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network. Wirel. Pers. Commun. Shrivishal Tripathi, Ashish Upadhyay, Shashank Kotyan, Sandeep Yadav
2019	J	`jnl`	Drishtikon: An advanced navigational aid system for visually impaired people. CoRR Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally
2019	J	`jnl`	Evolving Robust Neural Architectures to Defend from Adversarial Attacks. CoRR Danilo Vasconcellos Vargas, Shashank Kotyan
2019	J	`jnl`	HAUAR: Home Automation Using Action Recognition. CoRR Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally
2019	J	`jnl`	Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. CoRR Danilo Vasconcellos Vargas, Shashank Kotyan
2019	—	`conf`	Self Training Autonomous Driving Agent. SICE Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally
2019	J	`jnl`	Self Training Autonomous Driving Agent. CoRR Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally
2019	J	`jnl`	Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. CoRR Danilo Vasconcellos Vargas, Shashank Kotyan, Moe Matsuki