Nedim Srndic
Computer Networks and Communications · 2011–2016
A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 77 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 48 citations into it; #937 of 9,886 by trust here, #3,993 by citations
- Signal Processing — 46 citations into it; #586 of 7,572 by trust here, #246 by citations
- Artificial Intelligence — 41 citations into it; #3,177 of 35,345 by trust here, #2,695 by citations
- Information Systems — 40 citations into it; #768 of 8,771 by trust here, #3,640 by citations
- Safety, Robustness & Interpretability — 35 citations into it; #189 of 2,251 by trust here, #195 by citations
- Privacy & Security — 24 citations into it; #103 of 709 by trust here, #366 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Nedim Srndic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pavel Laskov
- Konrad Rieck
- Marco Cova
- Marco Barreno
- Marius Kloft
- Blaine Nelson
- Cynthia Dwork
- Battista Biggio
- M. Shafiq
- Charles Smutz
Who trusts Nedim Srndic overall
- Davide Maiorca
- Battista Biggio
- Liang Tong
- Nicolas Papernot
- Bo Li
- Weilin Xu
- Giorgio Giacinto
- Meng Xu
- Hung Dang
- Bin Liang
Papers from Nedim Srndic's perspective
Ordered by how strongly the researchers Nedim Srndic trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Support-Vector Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Nightmare at test time: robust learning by feature deletion
- The Nature of Statistical Learning Theory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Evasion Attacks against Machine Learning at Test Time (2013) — 2,338 citations
- Practical Evasion of a Learning-Based Classifier: A Case Study (2014) — 408 citations
- Hidost: a static machine-learning-based detector of malicious files (2016) — 107 citations
- Detection of Malicious PDF Files Based on Hierarchical Document Structure (2013) — 213 citations
- Static detection of malicious JavaScript-bearing PDF documents (2011) — 202 citations