{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Attacking machine learning with adversarial examples","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/c45df8ca-16fd-49ae-9adc-825b809a8453","json_url":"https://onlylabs.fyi/signals/c45df8ca-16fd-49ae-9adc-825b809a8453/signal.json","generated_at":"2026-06-08T15:47:16.879+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/c45df8ca-16fd-49ae-9adc-825b809a8453","signal_json":"https://onlylabs.fyi/signals/c45df8ca-16fd-49ae-9adc-825b809a8453/signal.json","source":"https://openai.com/index/attacking-machine-learning-with-adversarial-examples","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"OpenAI published Attacking machine learning with adversarial examples. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Attacking machine learning with adversarial examples | OpenAI February 24, 2017 Attacking machine learning with adversarial examples Loading… Share Adversarial examples.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Infrastructure in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://openai.com/index/attacking-machine-learning-with-adversarial-examples","source_host":"openai.com","occurred_at":"2017-02-24T08:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"OpenAI","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"openai.com","source":"source"},{"label":"Radar lane","value":"Infrastructure","source":"radar"},{"label":"Matched term","value":"systems","source":"radar"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Attacking machine learning with adversarial examples | OpenAI February 24, 2017 Attacking machine learning with adversarial examples Loading… Share Adversarial examples.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. 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In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult. At OpenAI, we think adversarial examples are a good aspect of security to work on because they represent a concrete problem in AI safety that can be addressed in the short term, and because fixing them is difficult enough that it requires a serious research effort. (Though we’ll need to explore many aspects of machine learning security to achieve our goal of building safe, widely distributed AI⁠.) To get an idea of what adversarial examples look like, consider this demonstration from Explaining and Harnessing Adversarial Examples⁠: starting with an image of a panda, the attacker adds a small perturbation that has been calculated to make the image be recognized as a gibbon with high confidence. 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