Life & fun · alternatives · 2026
24 alternatives to Adversarial Generation of Extreme Samples
Abstract page for arXiv paper 2009.08454: ExGAN: Adversarial Generation of Extreme Samples
Adversarial Generation of Extreme Samples is a research paper published on arXiv that explores methods for creating extreme or unusual data samples through adversarial techniques. It is intended for 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. Adversarial Generation of Extreme Samples launched in 2020; newer entries below may have overtaken it.
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Adversarial Generation of Extreme Samples. Contribute to Stream-AD/ExGAN development by creating an account on GitHub.
2020 · github.com · 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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Fabraix▲196We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…
May 2026 · fabraix.com · its alternatives →
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I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025! Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model): 1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete…
2025 · discrete-distribution-networks.github.io · its alternatives →
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A list of apps that use GANs to create fake-anythings
2019 · thisxdoesnotexist.com · its alternatives →
- 6IM
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech · its alternatives →
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2017 · reiinakano.github.io · its alternatives →
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The easiest way to produce professional videos from Scripts
2025 · its alternatives →
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X-Pilot▲328Hi HN, I'm Heshan, founder of X-Pilot. We're building an AI Video Generator for online courses and educational content. Unlike most text-to-video generator that render videos directly from models (which often produce random stock footage unrelated to the actual content), we take a code-first approach: generate editable code layers, let users verify/refine them, then render to video. The Problem We're Solving Most AI video generators treat "education" and "marketing" the same—they optimize for "looks good" rather than "logically accurate." When you feed a technical tutorial or course…
Apr 2026 · x-pilot.ai · its alternatives →
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Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
Jun 2026 · argusred.com · its alternatives →
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Reduce bias in AI systems with synthetic face datasets
2020 · generated.photos · its alternatives →
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Research Framework for easy and efficient training of GANs based on Pytorch - torchgan/torchgan
2018 · github.com · its alternatives →
- 14AF
Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https://arxiv-feed.vercel.app/ It's basically a feed of AI research papers + a one-liner explaining what problem its solving, etc. You can also click on any paper to get a TL;DR. Right now, I've only indexed a few hundred large language model papers, but will expand to indexing AI papers in other topics. Thinking of also adding a way for people to up-vote/down-vote papers. Would love to hear any thoughts/feedback! :D Thanks!
2023 · arxiv-feed.vercel.app · its alternatives →
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Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
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Proof of Concept : generating collisions on a neural perceptual hash - collisionLSH.py
2021 · gist.github.com · its alternatives →
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The Roadmap to Learn Generative Adversarial Networks (GANs) - instillai/Generative-Adversarial-Networks-Roadmap
2019 · github.com · its alternatives →
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Read expert insights on synthetic data, data privacy, and modern software testing. Explore articles from Tonic.ai’s AI engineering team.
2022 · tonic.ai · its alternatives →
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The largest AI generated vector image library and AI vector art generator. Browse and download unlimited SVG vector images, illustrations and clipart for free or create your own with AI.
2023 · vectorart.ai · its alternatives →
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New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.
2023 · github.com · its alternatives →
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Hey HN! We're Ayman and Dylan, co-founders of Nuanced (https://www.nuanced.dev/). We want to share a tool we’re working on to detect fake and real images: https://trial.nuanced.dev/demo/. The UI is bare-bones but you’ll get the idea. Drag or upload an image and our tool will display the probabilities with which it thinks that the image might be AI-generated or not. If you want, you can click “No, it’s AI” to confirm that the image was AI-generated, or “No, it’s real” to confirm that the image was not AI-generated. Why we’re working on this: as AI-generated…
2024 · trial.nuanced.dev · its alternatives →
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2022 · adversarial2048.com · its alternatives →
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