Konrad Rieck
Institution: Technische Universität Berlin & BIFOLD / CASA
Research Hub(s):
Hub A: Kryptographie der Zukunft
Hub B: Eingebettete Sicherheit
Hub C: Sichere Systeme
E-Mail: Rieck@tu-berlin.de
Website: https://mlsec.org
Twitter: @mlsec
Publikationen:
LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems TagVet: Vetting Malware Tags using Explainable Machine Learning Misleading Deep-Fake Detection with GAN Fingerprints Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Spying through Virtual Backgrounds of Video Calls Machine Unlearning of Features and Labels Misleading Authorship Attribution of Source Code using Adversarial Learning Dos and Don'ts of Machine Learning in Computer Security LogPicker: Strengthening Certificate Transparency Against Covert Adversaries Evaluating Explanation Methods for Deep Learning in Computer Security Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning
