# A Survey on Adversarial Information Retrieval on the Web

arXiv: https://arxiv.org/abs/1911.11060 · HTML: https://mlsanity.com/paper/1911.11060/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Nov 2019.

## Built on by (most cited first, 2 of 2)

- [Towards Imperceptible Document Manipulations against Neural Ranking Models](https://mlsanity.com/paper/2305.01860/) (2023)
- [Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems](https://mlsanity.com/paper/2506.06151/) (2025)

## Abstract (arXiv)

This survey paper discusses different forms of malicious techniques that can affect how an information retrieval model retrieves documents for a query and their remedies.