19 citations · 57 across the 17 of their papers we have counts for
7 papers · 1 filter
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents
Foozhan Ataiefard, Hadi Hemmati
In recent years, deep reinforcement learning (Deep RL) has been successfully implemented as a smart agent in many systems such as complex games, self-driving cars, and chat-bots. O…
MDA: Availability-Aware Federated Learning Client Selection
Amin Eslami Abyane, Steve Drew, Hadi Hemmati
Recently, a new distributed learning scheme called Federated Learning (FL) has been introduced. FL is designed so that server never collects user-owned data meaning it is great at…
Improving the Performance of DNN-based Software Services using Automated Layer Caching
Mohammadamin Abedi, Yanni Iouannou, Pooyan Jamshidi +1
Deep Neural Networks (DNNs) have become an essential component in many application domains including web-based services. A variety of these services require high throughput and (cl…
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness
Amin Eslami Abyane, Derui Zhu, Roberto Souza +2
Federated learning (FL) is a distributed learning paradigm that preserves users' data privacy while leveraging the entire dataset of all participants. In FL, multiple models are tr…
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
Amin Eslami Abyane, Hadi Hemmati
With the recent increase in the computational power of modern mobile devices, machine learning-based heavy tasks such as face detection and speech recognition are now integral part…
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
Foozhan Ataiefard, Mohammad Jafar Mashhadi, Hadi Hemmati +1
Many software engineering tasks, such as testing, and anomaly detection can benefit from the ability to infer a behavioral model of the software.Most existing inference approaches…
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
Mohammad Jafar Mashhadi, Hadi Hemmati
Inferring behavior model of a running software system is quite useful for several automated software engineering tasks, such as program comprehension, anomaly detection, and testin…