Spam Detection Using Threshold Method on Whatsapp Image Data

Tarafdar, Arunabha; Paul, H J Kelly; Gupta, Shubhojit; Acharjee, Labani; Sah, Akash; Ganguly, Soham

doi:10.1007/978-981-15-9433-5_31

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…AI/ML via general crypto or MPC [34,76,155,198,284,315,323,370,383] (total: 9) AI/ML or matching fully clientside [4,86,128,138,207,214,352,366,377] (total: 9) Metadata-based [58,176,262,368,384] (total: 5) Other [269,329,351] (total: 3)…”

Section: Spam Filteringmentioning

confidence: 99%

“…PHFs appear only in Reis et al's 2020 work for misinformation in WhatsApp that provides full client privacy [308] and the two 2021 partially client private proposals for matching CSAM [33,212]. A few more papers we examined use locality-sensitive hashes for identifying spam similar to previouslyseen spam [86,351,380], however aside from these PHFs are rare in the literature we examined. We hope to see both improved PHFs and improved scrutiny of PHFs in the future.…”

Section: Rules and Patternsmentioning

confidence: 99%

See 1 more Smart Citation

SoK: Content Moderation for End-to-End Encryption

Scheffler

Mayer

2023

PoPETs

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Popular messaging applications now enable end-to-end-encryption (E2EE) by default, and E2EE data storage is becoming common. These important advances for security and privacy create new content moderation challenges for online services, because services can no longer directly access plaintext content. While ongoing public policy debates about E2EE and content moderation in the United States and European Union emphasize child sexual abuse material and misinformation in messaging and storage, we identify and synthesize a wealth of scholarship that goes far beyond those topics. We bridge literature that is diverse in both content moderation subject matter, such as malware, spam, hate speech, terrorist content, and enterprise policy compliance, as well as intended deployments, including not only privacy-preserving content moderation for messaging, email, and cloud storage, but also private introspection of encrypted web traffic by middleboxes. In this work, we systematize the study of content moderation in E2EE settings. We set out a process pipeline for content moderation, drawing on a broad interdisciplinary literature that is not specific to E2EE. We examine cryptography and policy design choices at all stages of this pipeline, and we suggest areas of future research to fill gaps in literature and better understand possible paths forward.

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