Benedetta Tondi
International Conference on Information Photonics · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Benedetta Tondi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Benedetta Tondi overall
Papers from Benedetta Tondi's perspective
Ordered by how strongly the researchers Benedetta Tondi trusts endorse each paper. Same corpus, a different order for every researcher.
- Traffic sign recognition with multi-scale Convolutional Networks
- Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
- BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
- Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
- Backdoor attacks against learning systems
- Generative Poisoning Attack Method Against Neural Networks
- Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
- Trojaning Attack on Neural Networks
- Detection of traffic signs in real-world images: The German traffic sign detection benchmark
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning (2019) — 489 citations