LiteInjector : A LiteX based tool for emulating logical faults on Systems on Chips
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Updated
Nov 6, 2026 - Python
LiteInjector : A LiteX based tool for emulating logical faults on Systems on Chips
Code of "SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network" (IEEE Access 2021). Easy-to-use version: pip install scramblekit
End-to-end PE malware detection with XGBoost and MalConv2. Adversarial robustness evaluation via GAMMA attack, SHAP interpretability, and multi-model Pareto comparison.
Structured findings for LLM agent and RAG vulnerabilities. Each scenario ships vulnerable, fixed, and hard-negative variants with traces, deterministic tests, and Semgrep rules.
A Python evaluation comparing performance and bit-diffusion security (SAC) between XOR and XNOR implementations in AES across 6 block-cipher modes.
Reproducibility package for auditable neural differential distinguishers on reduced-round lightweight-style block ciphers.
Local Linux enforcement and security evidence for coding-agent evaluations with Inspect AI
Multi-agent security evaluation framework: SecureEval guardrails, intelligent agent routing, and consensus building for inspecting repositories for leaks, quality gaps, and documentation health.
Evaluation harness for LLM vulnerability detection: labeled vuln/fixed dataset, regex + AST taint-tracking baselines, patch-quality proxy, and false-positive burden on human reviewers
Agent Hub by ming (ming8m): local multi-agent collaboration with cloud APIs, plus Chinese methods for authorized AI red-team evidence review.
A prompt-injection firewall that publishes its own bypass rate. Leave-one-family-out evaluation: hold out an attack technique and the countermeasures it motivated, then report how often it gets through.
Reproducible LLM agent security evaluation framework for testing prompt injection attacks, comparing defenses, and measuring security gains against capability loss using sandboxed tools, local models, and automated metrics.
Reproducible lab for measuring prompt injection, RAG poisoning and data exfiltration risk across layered GenAI security controls
Measuring prompt-injection defences against policy-conformant attacks
智安哨:LLM Agent 攻击面研究、工具调用监督、防御评测与 OpenClaw 接入靶场。
Deterministic evaluation harness for measuring guardrail effectiveness against prompt injection in tool-using AI agents. Policy → keyword → semantic layers, full trace logging.
Superseded research benchmark; replaced by Agent Security Gate, which re-measures against AgentDojo.
Score a managed SOC proposal against the five questions that decide whether it works.
Course project: post-hoc analysis of LLM agent attack trajectories in Incalmo, comparing each run against an oracle-optimal path and classifying wasted steps
FLUX Attack Evaluation Artifacts — FLUX 拓扑验证码(全局相干形变 + 行为风险评分 + SHA-256 PoW)对抗评估代码与实验数据
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