Unlearning Verification Literature Survey
Budget: $30 – $250 USD
I need a polished survey paper that can confidently target a Q1 journal, centering on unlearning verification. The core of the manuscript must be a rigorous literature review that maps and critiques current trends and advancements in the field. Historical overviews or generic theory discussions are optional extras; the spotlight stays on the latest breakthroughs, open challenges, and how today’s techniques compare or converge.
All references should come primarily from reputable academic journals—top‐tier venues in machine learning, security, and software verification are preferred. Wherever possible, highlight citation metrics or impact factors to strengthen the argument for novelty and relevance.
Deliverables
• A 7,000–10,000-word survey organized for journal submission (abstract, introduction, themed sections, future directions, conclusion).
• A fully formatted reference list in IEEE or ACM style.
• An annotated spreadsheet of every article reviewed, noting topic category, publication year, and key contribution.
Acceptance criteria
1. At least 60 unique, peer-reviewed journal sources dated 2018 or later.
2. Clear synthesis of how each trend advances or challenges prior work, backed by comparative tables or figures.
3. Plagiarism score below 10 % on Turnitin or an equivalent checker.
4. Submission ready for double-blind review, with author details removed and all metadata cleaned.
If you are experienced in research writing, know your way around bibliographic tools such as Zotero or Mendeley, and can turn complex findings into a cohesive narrative, let’s get started—my aim is to submit within four weeks.
All references should come primarily from reputable academic journals—top‐tier venues in machine learning, security, and software verification are preferred. Wherever possible, highlight citation metrics or impact factors to strengthen the argument for novelty and relevance.
Deliverables
• A 7,000–10,000-word survey organized for journal submission (abstract, introduction, themed sections, future directions, conclusion).
• A fully formatted reference list in IEEE or ACM style.
• An annotated spreadsheet of every article reviewed, noting topic category, publication year, and key contribution.
Acceptance criteria
1. At least 60 unique, peer-reviewed journal sources dated 2018 or later.
2. Clear synthesis of how each trend advances or challenges prior work, backed by comparative tables or figures.
3. Plagiarism score below 10 % on Turnitin or an equivalent checker.
4. Submission ready for double-blind review, with author details removed and all metadata cleaned.
If you are experienced in research writing, know your way around bibliographic tools such as Zotero or Mendeley, and can turn complex findings into a cohesive narrative, let’s get started—my aim is to submit within four weeks.