Presentation at IFIP WG 10.4 meeting

July 2, 2024 | Comments Off on Presentation at IFIP WG 10.4 meeting

Juan C. Ruiz has presented the research work done by the Fault tolerant Systems research group of UPV at 86th IFIP WG 10.4 Meeting at Gold Coast, Australia, entitled “On improving the robustness of convolutional neural networks”.

IFIP WG 10.4 meeting

June 28, 2024 | Comments Off on IFIP WG 10.4 meeting

Juan C. Ruiz is attending the IFIP WG 10.4 meeting in Gold Coast, Australia. The IFIP WG 10.4 is aimed at identifying and integrating approaches, methods and techniques for specifying, designing, building, assessing, validating, operating and maintaining computer systems which should exhibit some or all of these attributes.

Paper available at IEEE early access

May 23, 2024 | Comments Off on Paper available at IEEE early access

The paper entitled “A Hybrid Technique based on ECC and Hardened Cells for Tolerating Random Multiple-Bit Upsets in SRAM arrays”, written by Daniel Gil-Tomás, Luis J. Saiz-Adalid, Joaquín Gracia-Morán, J. Carlos Baraza-Calvo and Pedro J. Gil-Vicente is now available at IEEE Access. Abstract: MBU is an increasing challenge in SRAM memory, due to the chip’s […]

Paper accepted at EDCC 2024

January 31, 2024 | Comments Off on Paper accepted at EDCC 2024

The paper entitled “Zero-Space In-Weight and In-Bias Protection for Floating-Point-based CNNs”, written by Juan Carlos Ruiz, David de Andrés, Luis José Saiz-Adalid and Joaquín Gracia-Morán has been accepted at 19th European Dependable Computing Conference (EDCC), that will be held in Leuven (Belgium) next april. Abstract Deploying convolutional neural networks (CNNs) in image classification systems requires […]

Fault injection at ISOLDE Project

February 13, 2023 | Comments Off on Fault injection at ISOLDE Project

Juan Carlos Ruiz and David de Andrés will collaborate in the ISOLDE project (High Performance, Safe, Secure, Open-Source Leveraged RISC-V Domain-Specific Ecosystems), from the Horizon Europe Framework Programme (HORIZON). They will be responsible of different fault-injection tasks: – Bit accurate FPGA-fault injection tool with relevant fault-models development.– Bit accurate FPGA-fault injection tool adaptation to target […]

DEFADAS project

September 17, 2021 | Comments Off on DEFADAS project

We have started our new project called DEFADAS, the acronym of “Dependable-enough FPGA-Accelerated DNNs for Automotive Systems” . Project research goals: Study the effect of faults on the different elements of FPGA-accelerated DNNs (convolution operators, pooling operators, fully connected layers, etc. implemented on LUTs, flip-flops, switch blocks, etc.), to define related fault models and failure […]