{
  "id": 3166018,
  "title": "Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition",
  "url": "https://urgent.news/2026/08/24/adapter-based-few-shot-continual-learning-for-malicious-packet",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T17:41:15.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.23536v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, continually updating models on new data often leads to catastrophic forgetting, where previously learned knowledge is overwritten. While continual learning has been increasingly explored for malware detection, the specific setting of Few-Shot…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}