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Michael Backes — most-cited papers & profile · Cybersecurity
← authors
·
overview
Michael Backes
35
papers ·
1139
citations ·
78
h-index
University of Namibia · North-West University · Laboratoire de Physique Nucléaire et de Hautes Énergies · Helmholtz Center for Information Security
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Most-cited papers
On the (Statistical) Detection of Adversarial Examples
2017 · 377 citations
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
2016 · 321 citations
Membership Inference Attacks by Exploiting Loss Trajectory
2022 · 83 citations
Node-Level Membership Inference Attacks Against Graph Neural Networks
2021 · 50 citations
Dynamic Backdoor Attacks Against Machine Learning Models
2020 · 46 citations
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
2021 · 46 citations
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
2023 · 43 citations
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
2019 · 34 citations
The Limitations of Model Uncertainty in Adversarial Settings
2018 · 24 citations
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
2020 · 20 citations
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks
2020 · 18 citations
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
2020 · 16 citations
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
2018 · 13 citations
Membership Inference Attacks Against In-Context Learning
2024 · 12 citations
How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models
2017 · 7 citations
Top co-authors
Kathrin Grosse
· 8
Yang Zhang
· 8
Ahmed Salem
· 5
Yun Shen
· 5
Ahmed Salem
· 4
Mathias Humbert
· 4
Yang Zhang
· 4
Yang Zhang
· 4
Pascal Berrang
· 3
Rui Wen
· 3
Xinlei He
· 3
Yang Zhang
· 3
Topics
Adversarial ML
Vulnerability Detection
Threat Intelligence
Privacy
LLM Security
Network Security
Malware Detection
Anomaly Detection
Cryptography