Latest updates from the SIGBED community

[HSCC 23 Best Paper] Distributionally Robust Strategy Synthesis for Switched Stochastic Systems

Introduction Cyber-physical systems (CPS), such as automated vehicles or robotics systems, are often characterized by two common features: i) they are safety-critical, hence formal guarantees of correctness are required, ii) they are affected by uncertainty, which is generally modeled through stochastic noise. Various formal verification and synthesis algorithms have been developed for these systems, with […]

[IPSN’23 Best Paper] Network On or Off? Instant Global Binary Decisions over UWB with Flick

In a nutshell: Flick is a novel network primitive that can establish a binary decision over a large wireless network in a fraction of a millisecond, with order-of-magnitude improvement over state of the art. Introduction: Low-power wireless & concurrent transmissions Low-power wireless networks are used in a wide range of applications, from sensing to localization. […]

2023 Annual CPS Rising Stars Workshop Trip Report

SIGBED was proud to sponsor the Second Annual CPS Rising Stars Workshop hosted by the University of Virginia on May 31, 2023. Executive Committee member, Wanli Chang, represented SIGBED and delivered a welcome talk. Thirty-four Rising Stars were selected from a competitive applicant pool of 117. The workshop also exceeded its aim to increase representation […]

[NSF CAREER Award] NeuralSAT: A CDCL-based constraint solving approach to DNN Verification

Deep Neural Networks (DNNs)  are an incredibly powerful tool for tackling a wide-range of real-world problems, including image recognition, autonomous driving, power grid control, fake news detection, drug synthesis and discovery, and even COVID-19 detection and diagnosis. However, similar to any software system, DNNs can have “bugs” that cause unexpected results when presented with inputs […]

Safety for learned control systems: data-driven proofs via neural certificates

For almost as long as people have been designing control systems, they have been asking “how can we prove that our controller will be safe?” For simple systems (e.g. linear or low-dimensional polynomial dynamics), we might be able to hand-analyze the system and prove that it will be safe, but this manual analysis quickly becomes […]

[EMSOFT’22 Best Paper ] Tinkertoy: Build your own operating systems for IoT devices

The Evolution of IoT: Diverging Application Requirements The Internet, long the domain of large and/or expensive devices, is now so pervasive that it is possible for tiny devices ranging from fitness trackers to doorbells to be interconnected, forming a bridge between the physical and digital worlds. Unfortunately, general-purpose operating systems, such as Windows and Linux, […]

The Next Ten Years of Robotics

As of 2023, the progress in deploying robots in the real world is hard to miss: autonomous vehicles actively drive passengers without safety drivers in San Francisco and Phoenix, personal drones for videography can autonomously track human movement despite hard-to-sense obstacles like tree branches, and lightweight robotic manipulators have become more accessible to people with […]

[CPS Rising Stars Workshop] Call for Applications

The second Cyber Physical Systems (CPS) Rising Stars Workshop, which is sponsored by the National Science Foundation, will be held at the University of Virginia (Charlottesville, VA) on May 31, 2023. This workshop aims to identify and mentor outstanding PhD students and postdocs who are interested in pursuing academic careers in CPS related areas. It […]

[CPS-IoT Week Workshop] Provably Safe Perception in Cyber-Physical Systems

Deep Samal, Dung Tran, and Marilyn Wolf are organizing a new workshop at CPS-IoT Week this year: the International Workshop on Perception for Safety-Critical Cyber-Physical Systems (PerCPS ’23).  This workshop is intended to provide a bridge between machine learning for perception and cyber-physical systems. Perception is a critical capability for autonomous cyber-physical systems.  Cyber-physical automatons […]

[ICCPS’22] Best Paper: interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems

Introduction Autonomous systems with learning-enabled components (LECs) rely on deep neural networks in order to achieve high performance for various applications. It is well known that neural networks are vulnerable to distribution shifts (e.g., weather changes and adversarial perturbations). This vulnerability raises the safety and robustness concerns of learning-enabled cyber-physical systems (CPS) in the real […]

The Methodological Pitfall of Dataset-Driven Research on Deep Learning in the IoT Space

We highlight a dangerous pitfall in the state-of-the-art evaluation methodology of deep learning algorithms, as applied in several CPS and IoT application spaces, where collecting data from physical experiments is difficult. The article is inspired by the real experiences of the authors. An extended version appears in the IoT-AE Workshop in conjunction with MILCOM 2022 […]

ML accelerates the cyber arms race — we need real security more than ever

Machine learning is en vogue, being applied to many classes of problems. One of them is cybersecurity, where ML is used to find vulnerabilities in code, simulate attacks, and detect when an intruder has breached a system’s defenses. Ignoring that intrusion detection is an admission of defeat (it comes into play when your system is […]

The Toxic Culture of Rejection in Computer Science

Unlike most disciplines, in Computer Science, conference publications dominate over journals, and program committees carry out the bulk of the peer reviewing.  Serving on a PC is a yeoman’s service, and the community owes them a debt of gratitude. However, I believe that a toxic culture has emerged. This blog is a call for PCs […]

[RTAS ’22 Best Student Paper] FlyOS: Integrated Modular Avionics for Autonomous Multicopters

“FlyOS: Integrated Modular Avionics for Autonomous Multicopters” by Anam Farrukh and Richard West won the best student paper award from amongst the outstanding category of papers at the 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) in 2022. This blog post gives an overview of the work.  From Federated to Integrated Architectures Traditionally, […]

RTAS’22 Trip Report

Welcome to the trip report on the 28th IEEE International Symposium on Real-Time and Embedded Technology and Applications Symposium (RTAS’22)! For the third time, our travel route does neither include planes nor trains but only a short walk to our desks. Due to the tapering pandemic, the General Chair Nan Guan had to re-organize the […]

Strong Isolation and Cyber-Security for Mixed-Criticality Cyber-Physical Systems

A story heard thousands of times “Software complexity is increasing” — I’m sure this is not the first time, nor will be the last time you read this claim. It may sound rhetorical, but repeatedly claiming overtime that software complexity is increasing is nothing but a concrete observation about the incessant pace with which several […]

[EMSOFT 2021 Best Paper] Verified Lustre normalization with node subsampling

“Verified Lustre normalization with node subsampling” by Timothy Bourke, Basile Pesin, Paul Jeanmaire, and Marc Pouzet is the best paper winner of the International Conference on Embedded Software (EMSOFT) in 2021. This blog post gives an overview of the work. The Coq development described in the paper is available online. There is also a page […]

Wait for It: A Blueprint for Sporadic Tasks on Linux

Introduction Welcome back to a second hands-on blog post in which we explore the implementation of classic real-time concepts in POSIX operating systems. In a previous post, we examined the classic periodic task abstraction and how to implement it in Linux. This time around, let’s explore its equally well-known counterpart: the sporadic task model for […]

A Look Back at ECRTS

In July, we held another successful ECRTS, with high quality papers, great sense of community, novel concepts, and the same spirit as in previous years. Behind the scenes, however, significant changes happened. The group of persons responsible for the development and organization of the conference, the Executive Board of the Technical Committee of Real-time Systems […]

Knowledge is Power. The Case for Profile-driven Resource Management in Complex Systems

Take 100 lines of C code and a hardware platform. How long will it take for the hardware to execute the code? Being able to construct an answer to this question in the scope of real-time systems is akin to solving one of the Millenium Prize Problems. Of course, the first instinct is to wonder if any loop in the code makes this question equivalent to solving the halting problem. Yet, the problem stands even if we assume a perfectly sequential list of instructions. One could even make the (not so) provocative statement that predicting the timing of a single instruction can be challenging.

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Recent Posts

[HSCC 23 Best Paper] Distributionally Robust Strategy Synthesis for Switched Stochastic Systems

[IPSN’23 Best Paper] Network On or Off? Instant Global Binary Decisions over UWB with Flick

2023 Annual CPS Rising Stars Workshop Trip Report