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Reverse engineering tool for Ethereum smart contracts, providing insights into code complexity, reuse, and linking contracts to public source code. Demonstrates applications in high-value wallets, arbitrage bots, and popular games.
Humorous critique of tech industry's approach to security, highlighting flaws in machine learning, AI, and IoT while advocating for ethical computing and thoughtful development.
Evolution of Alibaba's Pangu storage system: embracing SSD and RDMA technologies, reducing I/O latency, and transitioning to performance-oriented storage with innovative designs for improved efficiency and reliability.
Explores wide Locally Recoverable Codes for efficient data storage, introducing novel designs like Uniform Cauchy LRCs that improve reliability and performance in large-scale storage clusters.
Discover how to identify and mitigate hidden vulnerabilities in microservice architectures using OpenTelemetry, with real-world examples from Google Maps' high-risk dependencies.
Explore Lamphone, a novel optical side-channel attack that recovers sound from desk lamp vibrations, enabling passive eavesdropping from a distance with high-quality results.
Novel model inversion attacks on classification models reveal vulnerabilities in ML technologies, potentially leaking sensitive training data. Explores confidence score-based and label-only attacks, demonstrating disparate vulnerability across different…
Explore innovative audio deepfake detection using vocal tract reconstruction. Learn how fluid dynamics and articulatory phonetics can identify impossible anatomical arrangements in synthesized speech.
Explore a novel programming model for intermittent computing on ultra-low-power microcontrollers, enabling efficient multithreaded processing and event handling with minimal progress loss during power failures.
Explores deep learning model sparsity via Tensor-with-Sparsity-Attribute, enabling efficient sparse models across various patterns and optimization techniques, delivering significant speedups compared to state-of-the-art solutions.
Fault-tolerant far memory system using erasure-coding and remote memory compaction for efficient datacenter applications, offering improved latency and performance over existing solutions.
Explore capability-based isolation and efficient data sharing in cloud environments using cVMs, a novel VM-like abstraction leveraging memory capabilities for enhanced security and performance.
Explore Orca, a distributed serving system for transformer-based generative models, featuring iteration-level scheduling and selective batching to enhance performance and efficiency in large-scale language model inference.
MemLiner: Runtime technique improving far-memory systems by aligning application and garbage collection memory accesses, reducing local-memory working set and enhancing remote-memory prefetching for better performance.
Explore Owl, Meta's high-scale content distribution system combining centralized control with peer-to-peer data transfer, offering improved speed and flexibility over traditional methods.
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