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20132025
most citedSecure State Estimation against Sensor Attacks in the Presence of Noise

149 citations · 206 across the 29 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.LG2021

Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks

James Ferlez, Haitham Khedr, Yasser Shoukry

In this paper, we present the tool Fast Box Analysis of Two-Level Lattice Neural Networks (Fast BATLLNN) as a fast verifier of box-like output constraints for Two-Level Lattice (TL…

eess.SY2021

NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems

Xiaowu Sun, Yasser Shoukry

In this paper, we introduce NNSynth, a new framework that uses machine learning techniques to guide the design of abstraction-based controllers with correctness guarantees. NNSynth…

cs.LG2021

Assured Neural Network Architectures for Control and Identification of Nonlinear Systems

James Ferlez, Yasser Shoukry

In this paper, we consider the problem of automatically designing a Rectified Linear Unit (ReLU) Neural Network (NN) architecture (number of layers and number of neurons per layer)…

cs.LG2021

Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach

Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz +1

While conventional reinforcement learning focuses on designing agents that can perform one task, meta-learning aims, instead, to solve the problem of designing agents that can gene…

cs.LG2021★ 1 cited

Safe-by-Repair: A Convex Optimization Approach for Repairing Unsafe Two-Level Lattice Neural Network Controllers

Ulices Santa Cruz, James Ferlez, Yasser Shoukry

In this paper, we consider the problem of repairing a data-trained Rectified Linear Unit (ReLU) Neural Network (NN) controller for a discrete-time, input-affine system. That is we…

eess.SY2021★ 4 cited

Provably Correct Training of Neural Network Controllers Using Reachability Analysis

Xiaowu Sun, Yasser Shoukry

In this paper, we consider the problem of training neural network (NN) controllers for nonlinear dynamical systems that are guaranteed to satisfy safety and liveness (e.g., reach-a…

math.OC2021

PolyAR: A Highly Parallelizable Solver For Polynomial Inequality Constraints Using Convex Abstraction Refinement

Wael Fatnassi, Yasser Shoukry

Numerical tools for constraints solving are a cornerstone to control verification problems. This is evident by the plethora of research that uses tools like linear and convex progr…