Spectre attack against SGX enclave
-
Updated
Jan 14, 2018 - C
Spectre attack against SGX enclave
[NeurIPS'23] Speculative Decoding with Big Little Decoder
Microarchitectural exploitation and other hardware attacks.
🐉 Hail Hydra — Multi-headed speculative execution framework for Claude Code. 10 AI agents, 3x faster, ~70% cheaper. Inspired by speculative decoding.
KLEESpectre is a symbolic execution engine with speculation semantic and cache modelling
Run AI models too large for your Mac's memory — at near-full speed. Intelligent expert caching, speculative execution, and 15+ research techniques for MoE inference on Apple Silicon.
Variant 1 of the Spectre attack which is to bypass the bounds checks in the target process and retrieve the private data. Here in this example, I have demonstrated how to retrieve a string data using the attack.
Package speculatively provides a simple mechanism to re-execute a task in parallel only after some initial timeout has elapsed.
Advanced 64-bit RISC-V RVA22 soft SoC (3-way out-of-order). Scores 14 in Geekbench 5.4.1 @ 167 MHz
Experimental implementation of speculative model serving
High-Performance Speculative Tool-Execution Runtime for Autonomous AI Agents with Conservative Dependency & Effect Verification
open source speculation benchmarking for 2 phase protocol transactions
Research project about Spectre attack on XiangShan open-source RISC-V processor
State-aware hedged requests for serverless GPU inference — return the first valid result and cancel the losers with an audited receipt.
Spectre attack variant 1 is used here to extract an image data buffer from a program. The output image data is then decoded and median filters are applied to remove the hot pixels in the output image. Here I have included files for RGB and base64 format.
Phantom Metal Taste — speculative execution side-channel research
Predictive Voice Streaming Engine with <300ms Conversational Latency & Zero-Buffer Barge-In
🔮 Speculative tool execution: predicts and pre-runs verification while the model works, then serves results on demand.
Read ahead of your agent. An MCP proxy that learns, from an agent's recorded tool calls, which reads come next, and serves them in the same tool result, so the agent needs fewer LLM turns.
To associate your repository with the speculative-execution topic, visit your repo's landing page and select "manage topics."