Nhungamiro yehunyanzvi

Adversarial Mienzaniso uye Kusimba

Mienzaniso yeanopikisa mapindiro anovhiringwa neshanduko diki, kazhinji dzisingaonekwe dzinokonzeresa kuti modhi iite fungidziro ine chivimbo, isiriyo.

2 min verengaLast update

Pfupiso

Robustness is the field dedicated to defending against them, and it reveals deep gaps between machine and human perception.

Kudzika Kwakadzika

Muna 2013-2014, vaongorori vakaratidza kuti kuwedzera yakanyatsogadzirwa, iri pedyo-isingaonekwe ruzha patani kumufananidzo kunogona kupepeta classifier kubva 'panda' kuenda 'gibbon' neruvimbo rwakanyanya. Iyi mienzaniso yemhandu inoshandisa chokwadi chekuti neural network inodzidza miganhu yesarudzo ine brittle munzvimbo yakakwira-dimensional. Kurwiswa kunowanzo chena-bhokisi (anorwisa anoziva modhi uye anoshandisa gradients, semuFGSM nePGD) kana dema-bhokisi (zvinobuda chete zvinoonekwa). Zvinotyisa, mienzaniso yemhandu inowanzotamisa pakati pemhando dzakasiyana, ichigonesa kurwiswa pasina kupinda mukati. Njodzi yacho inoshanda: zvimiti zvenyama-nyika zvinogona kunyengedza ma detectors ekumira, uye jekiseni rekukurumidza 'jailbreaks' ndiyo analogi yemutauro. Tsvagiridzo yekusimba inotsvaga mhando dzinozvibata nemazvo kunyangwe pasi peyakanyanya-kesi, yekuvhiringidza kweanopikisa.

Technical Insight

Kurwiswa kwakawanda kune gradient-kwakavakirwa: FGSM inotora nhanho imwe chete munzira yechiratidzo chekurasikirwa neruremekedzo neruremekedzo rwekupinza, nepo PGD ichidzokorora izvi mukati mediki rakasungwa (semuenzaniso, L-infinity) bhora rakatenderedza yekutanga kuiswa. Kudzivirirwa kwakasimba kunozivikanwa ndeye kudzidziswa kweanopikisa, kudzidziswazve pamienzaniso yeanopikisa, yakagadzirwa sediki-max dambudziko: kuderedza kurasikirwa kunopesana nekukanganisa kwakanyanya. Inovandudza kusimba asi kazhinji inodhura kwakachena kurongeka uye compute.

Strategic Impact

Mutengo uye bhajeti

Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.

Sarudzo dzakajeka

Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.

Kudzora kwemhando yepamusoro

Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.

Ramangwana reMhandu Mienzaniso uye Kusimba

Sezvo AI ichipinda mukuchengetedza-yakakosha masisitimu, kusimba kuri kufamba kubva pakuda kuziva kwedzidzo kuenda kuzvinodiwa zveinjiniya. Basa rinoenderera mberi pazvidziviriro zvakasimbiswa zvinovimbisa nemasvomhu kuti hapana kuvhiringika mukati mechisungo kunogona kushandura zvabuda, uye pakusimba pakurwisa kwakafara, kwakaoma-kusungwa kunotarisana nemhando dzemitauro mikuru, senge jailbreak uye jekiseni nekukurumidza. Tarisira mabenchmarks eanopikisa, mapaipi ekutsvuka-team, uye kudzora kudzvanywa kwemamodeli akaiswa mukutyaira akazvimiririra, chengetedzo, uye hutano kuratidza kuvimbika kwakanyanya.

Real-World Implementation

Vatsvakurudzi vakaisa tumapepa tudiki pachiratidzo chekumira izvo zvakaita kuti mufananidzo wechiratidzo uiverenge zvisirizvo sechiratidzo chekumhanya, zvichiratidza njodzi yepasirese kumotokari dzinozvityaira.

Zvikwata zvekuchengetedza zvinozivikanwa kumeso zvine zvigamba zvemuvengi zvakadhindwa pamagirazi kana zvipfeko zvinonzvenga kana kuenzanisa kuzivikanwa.

Spam uye malware mafirita anoongororwa ane adversarily anovhiringidza mapindiro anochengetedza miripo ine hutsinye uku uchitsvedza vekare vekirasi.

Vagadziri veLLM vanodzivirira kubva pakukurumidza-jekiseni 'jailbreaks', iwo mutauro analogi yeanopikisa mienzaniso, inonyengera mamodheru mukuregeredza mirairo yekuchengetedza.

Njodzi & Guardrails

Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.

Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.

Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.

Implementation Roadmap

1

Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.

2

Benchmark pasi pechokwadi mutoro uye data mamiriro.

3

Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.

4

Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.

Ramba Uchiongorora

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Gaidhi rinotevera

Generative Adversarial Networks

Mibvunzo inowanzo bvunzwa

What is Adversarial Examples and Robustness?

Mienzaniso yeanopikisa mapindiro anovhiringwa neshanduko diki, kazhinji dzisingaonekwe dzinokonzeresa kuti modhi iite fungidziro ine chivimbo, isiriyo. Kusimba inzvimbo yakatsaurirwa kudzivirira kubva kwavari, uye inoburitsa mikaha yakadzika pakati pemuchina nekuona kwevanhu.

Ndeupi muenzaniso weanopikisa?

Mienzaniso yeanopikisa inowedzera kuvhiringidza kudiki, kwakanyatsogadzirwa kusingaonekwe nevanhu asi kunonyengedza modhi kuita zvikanganiso zvekusatya.

Chii chinosiyanisa kurwiswa kwe 'white-box' kubva pakurwisa 'kwebhokisi dema'?

Varwi chena-bhokisi vanoziva modhi uye vanogona kushandisa magiradhi ayo; black-box vanorwisa vanongoona zvinopinda uye zvinobuda.

Ndeipi inonyanya kushandiswa kudzivirira kuvandudza kusimba kweanopikisa?

Kudzidziswa kweAdversarial kunowedzera kudzidza nezvakaipisisa-zvakakanganiswa zvinopinza, zvakagadzirirwa semin-max optimization, uye ndiyo yakasimba kudzivirira yakavimbika, kunyangwe ichigona kuderedza kuchena kwakachena.

Sei 'kuchinjisa' kwemienzaniso yeanopikisa kune chekuita?

Nekuti mienzaniso yeanopikisa inotamisa mamodheru, munhu anorwisa anogona kuigadzira pane imwe modhi uye nekubudirira kurwisa chinangwa chaasingakwanise kuongorora.

Chii chinonzi analogi yemutauro mukuru-yemuenzaniso weanopikisa?

Jailbreaks uye majekiseni ekukurumidza zvinhu zvakagadzirwa zvinoshandisa LLM kuita isina kuchengetedzeka kana hunhu husingatarisirwe, inofananidzira kurwisa kwevavengi muchiratidzo.