Thorsten Holz
Artificial Intelligence · 2005–2023
A researcher in the Science corpus: 21 papers; trusts 77 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 154 citations into it; #15,506 of 35,345 by trust here, #9,557 by citations
- Signal Processing — 122 citations into it; #786 of 7,572 by trust here, #557 by citations
- Computer Networks and Communications — 59 citations into it; #783 of 9,886 by trust here, #682 by citations
- Information Systems — 57 citations into it; #909 of 8,771 by trust here, #589 by citations
- Software — 55 citations into it
- Computer Vision and Pattern Recognition — 49 citations into it; #20,223 of 21,575 by trust here, #14,151 by citations
- Privacy & Security — 17 citations into it
- Hardware and Architecture — 9 citations into it
Whom Thorsten Holz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrice Godefroid
- David Moore
- Felix C. Freiling
- Ulrich Bayer
- Geoffrey E. Hinton
- Mihai Christodorescu
- Thorsten Joachims
- Paul R. Barford
- Petar Maymounkov
- Andreas Moser
Who trusts Thorsten Holz overall
- Guofei Gu
- Roberto Perdisci
- Davide Maiorca
- Giorgio Giacinto
- Igino Corona
- David Dagon
- Wenke Lee
- Konrad Rieck
- Nicholas Carlini
- Battista Biggio
Papers from Thorsten Holz's perspective
Ordered by how strongly the researchers Thorsten Holz 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Leveraging Frequency Analysis for Deep Fake Image Recognition (2020) — 943 citations
- Cross-architecture bug search in binary executables (2015) — 358 citations
- Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection (2023) — 1,594 citations
- A Practical Attack to De-anonymize Social Network Users (2010) — 403 citations
- Counterfeit Object-oriented Programming: On the Difficulty of Preventing Code Reuse Attacks in C++ Applications (2015) — 429 citations
- (Un)informed Consent: Studying GDPR Consent Notices in the Field (2019) — 451 citations
- We Value Your Privacy ... Now Take Some Cookies (2018) — 318 citations
- Intelligent Data Analysis (2020) — 334 citations
- NAUTILUS: Fishing for Deep Bugs with Grammars (2019) — 311 citations
- REDQUEEN: Fuzzing with Input-to-State Correspondence (2019) — 431 citations
- Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding (2018) — 322 citations
- kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels (2017) — 343 citations
- Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation (2016) — 22 citations
- Automatic analysis of malware behavior using machine learning (2011) — 764 citations
- A Malware Instruction Set for Behavior-Based Analysis (2010) — 91 citations
- Measurements and Mitigation of Peer-to-Peer-based Botnets: A Case Study on Storm Worm (2008) — 486 citations
- Learning and Classification of Malware Behavior (2008) — 670 citations
- Rishi: Identify Bot Contaminated Hosts by IRC Nickname Evaluation (2007) — 391 citations
- Toward Automated Dynamic Malware Analysis Using CWSandbox (2007) — 828 citations
- The Nepenthes Platform: An Efficient Approach to Collect Malware (2006) — 370 citations