Schedule
Timezone: PDT
Security of Edge AI against Hardware Attacks
Manuel BROSCH, Research associate
Technical University Munich
Neural networks are widespread in usage and are amenable to many applications. However, depending on the task a network should perform, training can be compute and time consuming. Consequently, in many cases a neural network is an intellectual property worthwhile to protect. A possible attack target is to reverse engineer the network and build a copy of it. In the domain of edge AI, hardware attacks like side-channel analysis must be considered, since an attacker may get physical access to the device.
Matthias PROBST, Research associate
Technical University Munich
Neural networks are widespread in usage and are amenable to many applications. However, depending on the task a network should perform, training can be compute and time consuming. Consequently, in many cases a neural network is an intellectual property worthwhile to protect. A possible attack target is to reverse engineer the network and build a copy of it. In the domain of edge AI, hardware attacks like side-channel analysis must be considered, since an attacker may get physical access to the device.
Manuel BROSCH, Research associate
Technical University Munich
Manuel Brosch received his bachelor’s degree in computer engineering from Esslingen University of Applied Sciences. From Technical University Munich he received in 2019 his master’s degree in electrical engineering and computer science. He is working as a research associate at the Chair of Security in Information Technology at the Technical University Munich, since April 2020. His research area is the security of neural networks running on edge devices against hardware attacks, such as side-channel analysis.
Matthias PROBST, Research associate
Technical University Munich
Manuel Brosch received his bachelor’s degree in computer engineering from Esslingen University of Applied Sciences. From Technical University Munich he received in 2019 his master’s degree in electrical engineering and computer science. He is working as a research associate at the Chair of Security in Information Technology at the Technical University Munich, since April 2020. His research area is the security of neural networks running on edge devices against hardware attacks, such as side-channel analysis.
Schedule subject to change without notice.