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:
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting Thieves in the Browser: Web-based Cryptojacking in the Wild On the Detection of Image-Scaling Attacks in Machine Learning Cross-Language Differential Testing of JSON Parsers On the Role of Pre-trained Embeddings in Binary Code Analysis Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery I still know it's you! On Challenges in Anonymizing Source Code TagVet: Vetting Malware Tags using Explainable Machine Learning Misleading Deep-Fake Detection with GAN Fingerprints Dos and Don'ts of Machine Learning in Computer Security LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems Machine Unlearning of Features and Labels Spying through Virtual Backgrounds of Video Calls Backdooring and Poisoning Neural Networks with Image-Scaling Attacks 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
