Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913602184675328 |
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| author | Hawkes, Sophie Weinert, Christian Almeida, Teresa Mehrnezhad, Maryam |
| author_facet | Hawkes, Sophie Weinert, Christian Almeida, Teresa Mehrnezhad, Maryam |
| contents | We show that perceptual hashing, crucial for detecting and removing image-based sexual abuse (IBSA) online, faces vulnerabilities from low-budget inversion attacks based on generative AI. This jeopardizes the privacy of users, especially vulnerable groups. We advocate to implement secure hash matching in IBSA removal tools to mitigate potentially fatal consequences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_06056 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools Hawkes, Sophie Weinert, Christian Almeida, Teresa Mehrnezhad, Maryam Cryptography and Security We show that perceptual hashing, crucial for detecting and removing image-based sexual abuse (IBSA) online, faces vulnerabilities from low-budget inversion attacks based on generative AI. This jeopardizes the privacy of users, especially vulnerable groups. We advocate to implement secure hash matching in IBSA removal tools to mitigate potentially fatal consequences. |
| title | Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2412.06056 |