Konrad Rieck
Institution: Technische Universität Berlin & BIFOLD / CASA
Research Hub(s):
Hub A: Future Cryptography
Hub B: Embedded Security
Hub C: Secure Systems
E-Mail: Rieck@tu-berlin.de
Website: https://mlsec.org
Twitter: @mlsec
Publications:
New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild Spying through Virtual Backgrounds of Video Calls Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Misleading Deep-Fake Detection with GAN Fingerprints TagVet: Vetting Malware Tags using Explainable Machine Learning Thieves in the Browser: Web-based Cryptojacking in the Wild Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting Machine Unlearning of Features and Labels LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems Dos and Don'ts of Machine Learning in Computer Security Misleading Authorship Attribution of Source Code using Adversarial Learning Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning Evaluating Explanation Methods for Deep Learning in Computer Security LogPicker: Strengthening Certificate Transparency Against Covert Adversaries
