Concept
Memory error
Related publications (54)
Comprehensive Memory Safety Validation: An Alternative Approach to Memory Safety
Comprehensive memory safety validation identifies the memory objects whose accesses provably comply with all classes of memory safety, protecting them from memory errors elsewhere at low overhead. We assess the breadth and depth of comprehensive memory saf ...
Ieee Computer Soc2024An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability
Michel Bierlaire, Nejc Gerzinic
Understanding user’s perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time variability for ride-hailing services. We carried out a stated preference su ...
2023Hardware-Software co-design Methodologies for Edge AI Optimization
ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...
EPFL2023Morphological Sensitivity and Falling Behavior of Paper V-Shapes
Behavioral diversity seen in biological systems is, at the most basic level, driven by interactions between physical materials and their environment. In this context we are interested in falling paper systems, specifically the V-shaped falling paper (VSFP) ...
MIT PRESS2022Hypothalamic pregnenolone mediates recognition memory in the context of metabolic disorders
Maria del Carmen Sandi Perez, Ioannis Zalachoras, Sara Ramirez Flores
Obesity and type 2 diabetes are associated with cognitive dysfunction. Because the hypothalamus is implicated in energy balance control and memory disorders, we hypothesized that specific neurons in this brain region are at the interface of metabolism and ...
Elsevier2022Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations
Alexandre Schmid, Lizeth Gonzalez Carabarin
Model compression techniques have lead to a reduction of size and number of computations of Deep Learning models. However, techniques such as pruning mostly lack of a real co-optimization with hardware platforms. For instance, implementing unstructured pru ...
IEEE2022Reward biases spontaneous neural reactivation during sleep
Dimitri Nestor Alice Van De Ville, Maximilien Catsiyannis
Sleep favors the reactivation and consolidation of newly acquired memories. Yet, how our brain selects the noteworthy information to be reprocessed during sleep remains largely unknown. From an evolutionary perspective, individuals must retain information ...
NATURE RESEARCH2021Preventing Use-After-Free Attacks with Fast Forward Allocation
Memory-unsafe languages are widely used to implement critical systems like kernels and browsers, leading to thousands of memory safety issues every year. A use-after-free bug is a temporal memory error where the program accidentally visits a freed memory l ...
USENIX ASSOC2021La mémoire collective et l'espace. Traces, récits et expériences autour d'un paysage urbain romain
This PhD thesis explores the way multiple and tenuous links connect collective memory and space in the contemporary city. It does so through a field enquiry carried out in Rome, Italy. This palimpsest-city has a particular relationship to the past, which c ...
EPFL2020Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory
Olaf Blanke, Bruno Herbelin, Andrea Serino, Robin Mange, Lucie Bréchet
Introduction: Personally meaningful past episodes, defined as episodic memories (EM), are subjectively re-experienced from the natural perspective and location of one's own body, as described by bodily self-consciousness (BSC). Neurobiological mechanisms o ...
2020