2 citations · 4 across the 5 of their papers we have counts for
6 papers
Lagrangian Reachtubes: The Next Generation
Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner +3
We introduce LRT-NG, a set of techniques and an associated toolset that computes a reachtube (an over-approximation of the set of reachable states over a given time horizon) of a n…
Robustness of Neural Networks to Parameter Quantization
Abhishek Murthy, Himel Das, Md Ariful Islam
Quantization, a commonly used technique to reduce the memory footprint of a neural network for edge computing, entails reducing the precision of the floating-point representation u…
Synthesizing Stealthy Reprogramming Attacks on Cardiac Devices
Nicola Paoletti, Zhihao Jiang, Md Ariful Islam +5
An Implantable Cardioverter Defibrillator (ICD) is a medical device used for the detection of potentially fatal cardiac arrhythmia and their treatment through the delivery of elect…
Tight Continuous-Time Reachtubes for Lagrangian Reachability
Jacek Cyranka, Md. Ariful Islam, Scott A. Smolka +2
We introduce continuous Lagrangian reachability (CLRT), a new algorithm for the computation of a tight and continuous-time reachtube for the solution flows of a nonlinear, time-var…
Lagrangian Reachabililty
Jacek Cyranka, Md. Ariful Islam, Greg Byrne +3
We introduce LRT, a new Lagrangian-based ReachTube computation algorithm that conservatively approximates the set of reachable states of a nonlinear dynamical system. LRT makes use…
Model Checking Tap Withdrawal in C. Elegans
Md. Ariful Islam, Richard DeFrancisco, Chuchu Fan +3
We present what we believe to be the first formal verification of a biologically realistic (nonlinear ODE) model of a neural circuit in a multicellular organism: Tap Withdrawal (TW…