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:
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 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
