Search Results for author: Christian Wressnegger

Found 6 papers, 2 papers with code

Backdooring Explainable Machine Learning

no code implementations20 Apr 2022 Maximilian Noppel, Lukas Peter, Christian Wressnegger

We analyze different manifestations of such attacks for different explanation types in the image domain, before we resume to conduct a red-herring attack against malware classification.

BIG-bench Machine Learning Malware Classification

Machine Unlearning of Features and Labels

1 code implementation26 Aug 2021 Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck

In this paper, we propose the first method for unlearning features and labels.

Machine Unlearning

Dos and Don'ts of Machine Learning in Computer Security

no code implementations19 Oct 2020 Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas.

BIG-bench Machine Learning Computer Security +1

Poisoning Behavioral Malware Clustering

no code implementations25 Nov 2018 Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli

Clustering algorithms have become a popular tool in computer security to analyze the behavior of malware variants, identify novel malware families, and generate signatures for antivirus systems.

Clustering Computer Security +1

From Malware Signatures to Anti-Virus Assisted Attacks

no code implementations19 Oct 2016 Christian Wressnegger, Kevin Freeman, Fabian Yamaguchi, Konrad Rieck

Although anti-virus software has significantly evolved over the last decade, classic signature matching based on byte patterns is still a prevalent concept for identifying security threats.

Cryptography and Security

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