secpapers/config/topics.json at main · turenlabs/secpapers · GitHub

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{
  "api_url": "https://export.arxiv.org/api/query",
  "query": "((all:\"large language model\" OR all:\"large language models\" OR all:\"language model\" OR all:\"language models\" OR all:LLM OR all:LLMs OR all:ChatGPT) AND (all:security OR all:cybersecurity OR all:vulnerability OR all:malware OR all:phishing OR all:privacy OR all:jailbreak OR all:\"prompt injection\" OR all:\"red team\" OR all:backdoor OR all:poisoning OR all:misuse OR all:safety)) AND (cat:cs.CR OR cat:cs.CL OR cat:cs.AI OR cat:cs.SE OR cat:cs.LG OR cat:cs.MA OR cat:stat.ML)",
  "allowed_categories": ["cs.CR", "cs.CL", "cs.AI", "cs.SE", "cs.LG", "cs.MA", "stat.ML"],
  "max_results": 500,
  "batch_size": 100,
  "request_delay_seconds": 3,
  "minimum_relevance_score": 4,
  "llm_terms": [
    "large language model",
    "large language models",
    "language model",
    "language models",
    "llm",
    "llms",
    "chatgpt",
    "gpt-4",
    "claude"
  ],
  "security_terms": [
    "security",
    "secure",
    "cybersecurity",
    "cyber security",
    "vulnerability",
    "vulnerabilities",
    "malware",
    "phishing",
    "privacy",
    "data leakage",
    "data extraction",
    "memorization",
    "prompt injection",
    "jailbreak",
    "jailbreaking",
    "red team",
    "red teaming",
    "adversarial attack",
    "adversarial attacks",
    "backdoor",
    "backdoors",
    "poisoning",
    "misuse",
    "model safety",
    "alignment",
    "attack",
    "attacks",
    "threat",
    "threats"
  ],
  "strong_security_terms": [
    "cybersecurity",
    "cyber security",
    "llm security",
    "language model security",
    "agent security",
    "software security",
    "code security",
    "secure code",
    "security vulnerability",
    "security vulnerabilities",
    "security benchmark",
    "security evaluation",
    "security testing",
    "data leakage",
    "data extraction",
    "membership inference",
    "model inversion",
    "prompt injection",
    "jailbreak",
    "jailbreaking",
    "red team",
    "red teaming",
    "adversarial attack",
    "adversarial attacks",
    "backdoor",
    "backdoors",
    "poisoning",
    "malware",
    "phishing",
    "model safety",
    "threat intelligence",
    "intrusion detection"
  ],
  "topics": [
    {
      "id": "prompt-security",
      "name": "Prompt Injection & Jailbreaks",
      "keywords": ["prompt injection", "indirect prompt", "jailbreak", "jailbreaking", "system prompt", "prompt attack"]
    },
    {
      "id": "agent-security",
      "name": "Agent & Tool Security",
      "keywords": ["agent security", "agentic", "autonomous agent", "llm agent", "language model agent", "persistent agent", "tool use", "tool-use", "computer use", "browser agent", "multi-agent", "mcp", "model context protocol"]
    },
    {
      "id": "privacy",
      "name": "Privacy & Data Leakage",
      "keywords": ["privacy", "data leakage", "data extraction", "memorization", "membership inference", "model inversion", "personally identifiable", "private data", "training data extraction"]
    },
    {
      "id": "safety",
      "name": "Safety, Alignment & Misuse",
      "keywords": ["model safety", "ai safety", "alignment", "misuse", "harmful content", "dual use", "dual-use", "refusal", "guardrail", "content moderation", "weapon"]
    },
    {
      "id": "adversarial-ml",
      "name": "Adversarial ML, Poisoning & Backdoors",
      "keywords": ["adversarial attack", "adversarial example", "backdoor", "poisoning", "trojan", "model stealing", "model extraction", "extraction attack", "evasion attack", "gradient attack", "robustness"]
    },
    {
      "id": "software-security",
      "name": "Software & Vulnerability Security",
      "keywords": ["vulnerability", "vulnerabilities", "secure code", "code security", "code generation", "program repair", "software security", "smart contract", "dockerfile", "cve", "common weakness", "static analysis", "penetration test", "penetration testing", "pentest"]
    },
    {
      "id": "cyber-defense",
      "name": "Malware, Phishing & Cyber Defense",
      "keywords": ["malware", "phishing", "cybersecurity", "cyber security", "intrusion detection", "threat intelligence", "incident response", "security operations", "network security", "digital forensics", "spam", "botnet"]
    },
    {
      "id": "evaluation",
      "name": "Evaluation, Benchmarks & Red Teaming",
      "keywords": ["benchmark", "evaluation", "red team", "red teaming", "taxonomy", "survey", "systematic review", "risk assessment", "threat model", "security testing"]
    }
  ]
}