Priv-QDNN
jefffffffu/priv-qdnnResearch codebase for privacy evaluation of quantized neural networks: trains target/shadow models under PTQ/QAT and runs membership-inference…
ai-securityeducationmachine-learning+2
jefffffffu/priv-qdnnResearch codebase for privacy evaluation of quantized neural networks: trains target/shadow models under PTQ/QAT and runs membership-inference…
yashubitra/mobile-intrusion-detection-systemUnsupervised deep autoencoder that flags anomalous mobile traffic: 25,000+ HTTP/HTTPS flows intercepted from a live iOS device with mitmproxy,…
lzh0082-cloud/code-detectionReplication package studying how LLM vulnerability auditors defer to static-analysis evidence, with a tree-sitter C/C++ front end, controlled…
suels-group/beyond_asrResearch code for measuring jailbreak attack success rates (ASR and stepwise ASR) against LLMs, with implementations of attacks such as GCG and…
crypto-unict/ghostfacempcReference implementation of privacy-preserving face recognition using replicated secret sharing in MP-SPDZ, with quantized GhostFaceNet inference,…
ericyoc/ai-security-literacyReproducible Colab pipeline that grounds six AI Security Literacy competency dimensions in public benchmarks and survey microdata, producing figures,…
tencent-hunyuan/diagsafeDiagnostic LLM safety benchmark with 3,489 bilingual prompts, an 84-label taxonomy, and prompt-level rubric judging for explainable, fine-grained…
hanxi19/black_hole_attack_for_vector_databaseResearch implementation of the Black-Hole Attack that poisons vector database indexes via centrality-driven hubness, with FAISS pipelines and…
gmh5225/malicious-code-detection-buguAI-based malicious code detection and obfuscation system with microservices for detection, packing, and code confusion, plus user and admin services.
yxf203/defense-as-skillRuntime guard skill that detects and blocks malicious skill-induced attacks in skill-augmented agents, with an MCTS loop that evolves the guard…
krxi/asmsenseSmall language model that names and describes functions in stripped x86-64 binaries, with an open dataset, baselines, and LoRA fine-tuning…
ye-ze-yu/epireal-benchRed-teaming benchmark and black-box attack framework for evaluating visual misinformation risks in commercial image generators, with 10k false-claim…
stardust457/sldrDefense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…
githubsecuritylab/seclab-taskflow-agentMCP-enabled multi-agent framework for declarative YAML-driven agentic workflows, used for AI-assisted code auditing, vulnerability triage, and…
uiuc-kang-lab/persistbdResearch code for training adapters that make LLM agent backdoors survive benign fine-tuning, with trigger-rate scoring, SWE-bench evaluation, and…
zju-llm-safety/ascentFine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…
abhinavdubey30/perturbed-embedding-vectorsCode, response logs and labels for the paper Jailbreaking Open-Weight LLMs via Random Embedding Perturbations
arxhr007/aliens_eyeAI powered OSINT engine to discover and map 840+ social media identities across the web