10 papers
Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress
Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed +2
Recent advancements in side-channel attacks have revealed the vulnerability of modern Deep Neural Networks (DNNs) to malicious adversarial weight attacks. The well-studied RowHamme…
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
SungHeon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun +3
Hyperdimensional computing (HDC) enables efficient data encoding and processing in high-dimensional space, benefiting machine learning and data analysis. However, underutilization…
SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
Deepak Vungarala, Sakila Alam, Arnob Ghosh +1
Large Language Models (LLMs) have shown great potential in automating code generation; however, their ability to generate accurate circuit-level SPICE code remains limited due to a…
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI
Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi +3
With the rise of tiny IoT devices powered by machine learning (ML), many researchers have directed their focus toward compressing models to fit on tiny edge devices. Recent works h…
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism
Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar +3
RowHammer stands out as a prominent example, potentially the pioneering one, showcasing how a failure mechanism at the circuit level can give rise to a significant and pervasive se…
Dependability in Embedded Systems: A Survey of Fault Tolerance Methods and Software-Based Mitigation Techniques
Mohammadreza Amel Solouki, Shaahin Angizi, Massimo Violante
Fault tolerance is a critical aspect of modern computing systems, ensuring correct functionality in the presence of faults. This paper presents a comprehensive survey of fault tole…