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DeepAttack: A Deep Learning Based Oracle-less Attack on Logic Locking2023 IEEE International Symposium on Circuits and Systems proceedings conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security
Anand Raj, Nikhitha Avula, Pabitra Das, Dominik Šišejković, Farhad Merchant, Amit Acharyya
9citations -
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks2020 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection Open access cited by 1 patent
Segun Isaiah Popoola, Bamidele Adebisi, Mohammad Ali A. Hammoudeh, Guan Gui, Haris Gacanin
249citations -
Enhancing Scale and Shift Invariance in Deep Learning-Based Side-Channel Attacks Through Equivariant Convolutional Neural Networks2026 Lecture notes in computer science conference-paper Computer Science Cryptographic Implementations and Security
David Perez, Sengim Karayalçın, Stjepan Picek, Servio Paguada
1citations -
MiniFool: Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks2026 The European Physical Journal C article Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Oliver Janik, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, +4 more
0citations -
Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach2021 ACM Journal on Emerging Technologies in Computing Systems article Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access
Dominik Šišejković, Farhad Merchant, Lennart M. Reimann, Ahmed Hallawa, Rainer Leupers
85citations -
MiniFool — Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks2025 Research Square preprint Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Oliver Janik, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, +4 more
0citations -
Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
P. Bechtle, Lucie Flek, A. Jung, Akbar Karimi, Timo Saala, Alexander Schmidt, +4 more
0citations -
Edge Device Identification Based on Federated Learning and Network Traffic Feature Engineering2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Internet Traffic Analysis and Secure E-voting cited by 1 patent
Zhimin He, Jie Yin, Yu Wang, Guan Gui, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki, +2 more
57citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more
0citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, Philipp Soldin, +1 more
0citations -
L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection cited by 1 patent
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yi-Xiang Wang, Yan Li, Chang Liu
4citations