# Samyak Jain

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/samyak-jain/

## Facts

| Field | Value |
| --- | --- |
| Citations | 607 |
| Field | Adversarial Robustness in Machine Learning |
| h-index | 10 |
| i10-index | 10 |
| OpenAlex ID | https://openalex.org/A5101608990 |
| Works | 71 |

## Researcher papers

- [Real-Time Smart Attendance System using Face Recognition Techniques](https://scholariq.org/papers/real-time-smart-attendance-system-using-face-recognition-techniques/)
- [ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction](https://scholariq.org/papers/vinet-pushing-the-limits-of-visual-modality-for-audio-visual-saliency-prediction/)
- [Coiled tubing erosion during hydraulic fracturing slurry flow](https://scholariq.org/papers/coiled-tubing-erosion-during-hydraulic-fracturing-slurry-flow/)
- [A Static Hand Gesture and Face Recognition System for Blind People](https://scholariq.org/papers/a-static-hand-gesture-and-face-recognition-system-for-blind-people/)
- [EfficientNet architecture and attention mechanism-based wheat disease identification model](https://scholariq.org/papers/efficientnet-architecture-and-attention-mechanism-based-wheat-disease/)
- [Forecasting And Prediction Of Air Pollutants Concentrates Using Machine Learning Techniques: The Case Of India](https://scholariq.org/papers/forecasting-and-prediction-of-air-pollutants-concentrates-using-machine-learning/)
- [Ligand based virtual screening using SVM on GPU](https://scholariq.org/papers/ligand-based-virtual-screening-using-svm-on-gpu/)
- [Towards Understanding and Improving Adversarial Robustness of Vision Transformers](https://scholariq.org/papers/towards-understanding-and-improving-adversarial-robustness-of-vision/)
- [DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks](https://scholariq.org/papers/dart-diversify-aggregate-repeat-training-improves-generalization-of-neural/)
- [Efficient and Effective Augmentation Strategy for Adversarial Training](https://scholariq.org/papers/efficient-and-effective-augmentation-strategy-for-adversarial-training/)

## Researcher topics

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.