Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

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Electrical stimulation of the visual nervous system could improve the quality of life of patients affected by acquired blindness by restoring some visual sensations, but requires careful optimization of stimulation parameters to produce useful perceptions. ...

Formally verifying the correctness of software is necessary to merit the trust people put in software systems. Currently, formal verification requires human effort to prove that a piece of code matches its specification and code changes to improve verifiab ...

In this paper, we present a new parameterization and optimization procedure for minimizing the weight of ribbed plates. The primary goal is to reduce embodied CO2 in concrete floors as part of the effort to diminish the carbon footprint of the construction ...

Computer systems rely heavily on abstraction to manage the exponential growth of complexity across hardware and software. Due to practical considerations of compatibility between components of these complex systems across generations, developers have favou ...

In contrast to vast academic efforts to study AI security, few real-world reports of AI security incidents exist. Released incidents prevent a thorough investigation of the attackers' motives, as crucial information about the company and AI application is ...

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Code-reuse attacks are dangerous threats that attracted the attention of the security community for years. These attacks aim at corrupting important control-flow transfers for taking control of a process without injecting code. Nowadays, the combinations o ...

In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...

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Dynamically scheduled high-level synthesis can exploit high levels of parallelism in poorly-predictable control-dominated applications. Yet, dataflow circuits are often generated by literal conversion of basic blocks into circuits interconnected in such a ...

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Designing turbocompressors is a complex and challenging task, as it involves balancing conflicting objectives such as efficiency, stability, and robustness against manufacturing deviations. This paper proposes an integrated design methodology for turbocomp ...

Artificial Intelligence (AI) techniques are considered the most advanced approaches for diagnosing faults in power transformers. Dissolved Gas Analysis (DGA) is the conventional approach widely adopted for diagnosing incipient faults in power transformers. ...

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

Chattez avec Graph Search

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Automated Formal Verification of Software Network Functions

Mesh-based topology, shape and sizing optimization of ribbed plates

Secure Interface Design Leveraging Hardware/Software Support

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Text-to-Microstructure Generation Using Generative Deep Learning

Scalable constrained optimization

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches

Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems

Straight to the Queue: Fast Load-Store Queue Allocation in Dataflow Circuits

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques