Sayandeep Saha
2022
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sayandeep Saha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sayandeep Saha's perspective
Ordered by how strongly the researchers Sayandeep Saha trusts endorse each paper. Same corpus, a different order for every researcher.
- Rethinking the Inception Architecture for Computer Vision
- Stealing Machine Learning Models via Prediction APIs
- TensorFlow: A system for large-scale machine learning
- Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Evaluating the security of logic encryption algorithms (IEEE International Symposium on Hardware Oriented Security and Trust)
- I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators
- DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks (International Conference on Architectural Support for Programming Languages and Operating Systems)
- Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
- Knockoff Nets: Stealing Functionality of Black-Box Models
Their papers
- NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models (2022) — 17 citations