AI · alternatives · 2026
24 alternatives to Generating Collisions on NeuralHash
Proof of Concept : generating collisions on a neural perceptual hash - collisionLSH.py
Generating Collisions on NeuralHash is a technical demonstration posted on GitHub that explores vulnerabilities in Apple's NeuralHash system. The project is designed for cryptographers, security researchers, and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Generating Collisions on NeuralHash launched in 2021; newer entries below may have overtaken it.
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Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 25N
2021 · thishashcollisionisnotporn.com · its alternatives →
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Discover amazing ML apps made by the community
2021 · huggingface.co · its alternatives →
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Abstract page for arXiv paper 1908.06062: Adversarial shape perturbations on 3D point clouds
2019 · arxiv.org · its alternatives →
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Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
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HyperMinHash: Bringing intersections to HyperLogLog - axiomhq/hyperminhash
2018 · github.com · its alternatives →
- 8
Perceptual hashing tools for detecting child sexual abuse material - thorn-oss/perception
2019 · github.com · its alternatives →
- 9
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com · its alternatives →
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TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com · its alternatives →
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HASH▲127Build complex simulations quickly with modular components
2020 · hash.ai · its alternatives →
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Hi HN, I built SplatHash. It's a lightweight image placeholder generator I wrote to be a simpler, faster alternative to BlurHash and ThumbHash. Repo: https://github.com/junevm/splathash
Feb 2026 · github.com · its alternatives →
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bit blocks▲73Adversarial block-matching game with adorable graphics
2015 · apps.apple.com · its alternatives →
- 14CC
A blog about computer science, systems, technology, and sometimes vegan cooking.
2013 · da-data.blogspot.com · its alternatives →
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:rocket: DISCoHAsH - Simple, fast, quality hash in 120 lines. 10GB/s serial (depending on hardware). Also in NodeJS - DO-SAY-GO/DISCoHAsH
2020 · github.com · its alternatives →
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A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
2015 · github.com · its alternatives →
- 17
Most efforts to privately train machine-learning models either use homomorphic encryption or secure multi-party computation (MPC). Recent insights indicate…
2018 · blog.openmined.org · its alternatives →
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Agents are your neurons. We create the synapses.
Feb 2026 · hashgrid.ai · its alternatives →
- 19AP
2016 · chara.cs.illinois.edu · its alternatives →
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We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…
2025 · github.com · its alternatives →
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SHA256 sentence: discover a SHA256 checksum that matches a sentence's description of hex digit words. - joelparkerhenderson/sha256-sentence
2023 · github.com · its alternatives →
- 22VA
2011 · thevash.com · its alternatives →
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A simple GPU hash table implemented in CUDA using lock free techniques - nosferalatu/SimpleGPUHashTable
2020 · github.com · its alternatives →
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Discover amazing ML apps made by the community
2021 · huggingface.co · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →