[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-researchers-can-guess-llm-architecture-through-restrictive-apis":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3467,"researchers-can-guess-llm-architecture-through-restrictive-apis","Researchers Can Guess LLM Architecture Through Restrictive APIs","A new attack called NightVision estimates hidden dimensions, depth, and parameter counts of commercial LLMs using only standard API access.","Researchers have found a way to reverse-engineer the internal architecture of commercial large language models — even through the stripped-down API access providers thought was safe enough.\n\nA paper published this week introduces NightVision, a black-box inference attack that works against LLMs using only the single output token probability each API call returns. Earlier research had already shown that top-k logits or logit bias features could leak architectural details, so most commercial providers quietly removed those capabilities. NightVision sidesteps that fix with a technique called common set prompting: feeding multiple prompts that share the same output tokens, then running spectral analysis on the resulting log probabilities to back out the model's hidden dimension. From there, it uses time-to-first-token measurements alongside the estimated hidden dimension to approximate layer depth and total parameter count. Tested across 32 open-source models, NightVision recovered hidden dimension within 23% average relative error — dropping to 9% on mixture-of-experts architectures — and estimated depth and parameter count within 53% for models above three billion parameters.\n\nFor providers who treat model architecture as a trade secret, this is a meaningful crack in the wall. Knowing a competitor's parameter count and depth narrows the search space for replication considerably, and it may inform decisions about fine-tuning, distillation, or pricing attacks. The research also suggests that incremental API restrictions are a game of whack-a-mole: close one information channel and someone finds another.\n\nProviders have already tightened APIs once in response to earlier work. Expect another round of restrictions — and another paper showing those restrictions are not enough.","[\"ai\",\"security\",\"large-language-models\",\"research\"]","2026-07-03T04:00:00.000Z","2026-07-03T06:44:07.529Z","2026-07-03T06:44:10.501Z","published",null,[],"ai",[24,26,27,28],"security","large-language-models","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.01313",0,{"sections":35},[36,40,44,49,54,59,64,69,74,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":26,"count":42,"latest_published_at":43},"Security",294,"2026-07-15T19:59:48.000Z",{"name":45,"slug":46,"count":47,"latest_published_at":48},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":68},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]