Self Training Autonomous Driving Agent. - Shashank Kotyan; Danilo Vasconcellos Vargas; Venkanna Udutalapally (SICE, 2019)

Drishtikon: An advanced navigational aid system for visually impaired people. - Shashank Kotyan; Nishant Kumar; Pankaj Kumar Sahu; Venkanna Udutalapally (CoRR, 2019)

HAUAR: Home Automation Using Action Recognition. - Shashank Kotyan; Nishant Kumar; Pankaj Kumar Sahu; Venkanna Udutalapally (CoRR, 2019)

Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. - Danilo Vasconcellos Vargas; Shashank Kotyan (CoRR, 2019)

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. - Danilo Vasconcellos Vargas; Shashank Kotyan; Moe Matsuki (CoRR, 2019)

Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network. - Shrivishal Tripathi; Ashish Upadhyay; Shashank Kotyan; Sandeep Yadav (Wirel. Pers. Commun., 2019)

Towards evolving robust neural architectures to defend from adversarial attacks. - Shashank Kotyan; Danilo Vasconcellos Vargas (GECCO Companion, 2020)

Evolving Robust Neural Architectures to Defend from Adversarial Attacks. - Shashank Kotyan; Danilo Vasconcellos Vargas (AISafety@IJCAI, 2020)

Deep Neural Network Loses Attention to Adversarial Images. - Shashank Kotyan; Danilo Vasconcellos Vargas (AISafety@IJCAI, 2021)

A reading survey on adversarial machine learning: Adversarial attacks and their understanding. - Shashank Kotyan (CoRR, 2023)

Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. - Shashank Kotyan; Danilo Vasconcellos Vargas (CoRR, 2023)

Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. - Shashank Kotyan; Danilo Vasconcellos Vargas (CoRR, 2023)

The Challenges of Image Generation Models in Generating Multi-Component Images. - Tham Yik Foong; Shashank Kotyan; Poyuan Mao; Danilo Vasconcellos Vargas (CoRR, 2023)

Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models. - Poyuan Mao; Shashank Kotyan; Tham Yik Foong; Danilo Vasconcellos Vargas (CoRR, 2023)

EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions. - Shashank Kotyan; Poyuan Mao; Danilo Vasconcellos Vargas (CoRR, 2024)

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models. - Shashank Kotyan; Pin-Yu Chen; Danilo Vasconcellos Vargas (CoRR, 2024)

Improving robustness for vision transformer with a simple dynamic scanning augmentation. - Shashank Kotyan; Danilo Vasconcellos Vargas (Neurocomputing, 2024)

k* Distribution: Evaluating the Latent Space of Deep Neural Networks Using Local Neighborhood Analysis. - Shashank Kotyan; Tatsuya Ueda; Danilo Vasconcellos Vargas (IEEE Trans. Neural Networks Learn. Syst., 2025)