
FlowName
Next-generation JavaScript identifier recovery with LLMs.

Next-generation JavaScript identifier recovery with LLMs.

LLM safety: analyze how fine-tuning shifts refusal behavior and evaluate layer-freezing and low-rank defenses.

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models (NeurIPS'26)

Research pipeline that constructs verified successful experiences and organizes them into formation records to progressively poison model skills via…

Fix-Like Artifacts With Embedded Defects

Collection of CVE(work) on tenserflow binary pwning it

A list of covert channels and steganography/steganalysis resources (books, papers & tools)

Research code for poisoning attacks on the PGM-index, demonstrating how to craft adversarial data to degrade learned index performance.

Probabilistic Context Free Grammar (PCFG) password guess generator

Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks. Red Team AI Benchmark is a CLI model-evaluation benchmark. It…

Jailbreak vulnerability across early-exit depths LLMs. Published at NeurIPS 2026 in the FLMSec workshop

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

This repository provides the official implementation of POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models.

Replication package studying how LLM vulnerability auditors defer to static-analysis evidence, with a tree-sitter C/C++ front end, controlled…