Hacker News
- Attacks on machine learning models https://rnikhil.com/2024/01/07/attacking-neural-networks.html 38 comments
Linked pages
- xAI: Understand the Universe https://x.ai/ 437 comments
- [1710.08864] One pixel attack for fooling deep neural networks https://arxiv.org/abs/1710.08864 147 comments
- You can’t solve AI security problems with more AI https://simonwillison.net/2022/Sep/17/prompt-injection-more-ai/ 31 comments
- [1801.01944] Audio Adversarial Examples: Targeted Attacks on Speech-to-Text https://arxiv.org/abs/1801.01944 18 comments
- https://arxiv.org/pdf/1412.6572.pdf#page=3 7 comments
- http://arxiv.org/pdf/1312.6199.pdf 6 comments
- [1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier http://arxiv.org/abs/1602.04938 1 comment
- [1901.09749] Fairwashing: the risk of rationalization https://arxiv.org/abs/1901.09749 1 comment
- [2104.09667] Manipulating SGD with Data Ordering Attacks https://arxiv.org/abs/2104.09667 0 comments
- [2012.07805] Extracting Training Data from Large Language Models https://arxiv.org/abs/2012.07805 0 comments
- [2006.03463] Sponge Examples: Energy-Latency Attacks on Neural Networks https://arxiv.org/abs/2006.03463 0 comments
- [1911.02508] Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods https://arxiv.org/abs/1911.02508 0 comments
- LLM Security https://llmsecurity.net/ 0 comments
- Adversarial Attacks on LLMs | Lil'Log https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/ 0 comments
- LLM security - Introduction | Nikhil. R https://rnikhil.com/2023/12/18/ai-llm-security-part1.html 0 comments
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