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:
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 I still know it's you! On Challenges in Anonymizing Source Code 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 TagVet: Vetting Malware Tags using Explainable Machine 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 Misleading Authorship Attribution of Source Code using Adversarial Learning LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems 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
