Image Classification

the below parameters are for various image classification attack types to know more about the different attack input parameters see docid 6deiimjnkl5d0cdwstckb the values presented below are examples taken from the mnist model used in the reference implementation it is important to customize these values to achieve the best performance for your particular model extraction { "attack type" "blackbox", "defense bestonly" "no", "encryption strategy" "0", "input dimensions" "28,28,1", "model api details" "na", "model framework" "tensorflow", "normalize data" "yes", "number of attack queries" "10000", "number of classes" "10", "use model api" "no", "vulnerability threshold" "0 00", "color space" "bgr" } evasion { "defense bestonly" "no", "encryption strategy" "0", "input dimensions" "28,28,1", "model api details" "na", "model framework" "tensorflow", "normalize data" "yes", "number of classes" "10", "use model api" "no", "color space" "bgr" } poisoning { "input dimensions" "28,28,1", "model framework" "tensorflow", "normalize data" "yes", "number of classes" "10", "color space" "bgr" } drift { &#x9;"color space" "bgr", &#x9;"encryption strategy" "0", &#x9;"input dimensions" "128,128,3", &#x9;"model api details" "na", &#x9;"model framework" "tensorflow", &#x9;"use model api" "no", &#x9;"color space" "bgr" } outlier { "input dimensions" "128,128,3" } { "tab" "examples", "url" "https //api aws boschaishield com/prod/api/ais/v1 5/model analyse", "name" "model anaylsis", "method" "post", "request" { "pathparameters" \[ { "name" "model id", "kind" "required", "type" "string", "description" "", "children" \[] } ], "queryparameters" \[], "headerparameters" \[ { "kind" "required", "name" "x api key", "type" "string", "children" \[], "description" "enter your api key" }, { "kind" "required", "name" "org id", "type" "string", "children" \[], "description" "enter your organization id" } ], "bodydataparameters" \[], "formdataparameters" \[] }, "results" { "languages" \[ { "id" "dl4hdcclth6dutou opbd", "code" "// 200 ok returns a json object containing unique model id and urls to upload required files ", "language" "200", "customlabel" "" }, { "id" "z5ds opimhsxfewrtknkw", "language" "401", "code" "// 401 unauthorized returns an error message if the provided api key or org id is invalid or expired ", "customlabel" "" }, { "id" "xjhl9zr5waz30f4gu2buz", "language" "400", "code" "// 400 bad request error returns an error message if the application cannot or will not process the request due to something that is perceived to be a client error (for example, malformed request syntax, invalid request message framing, etc )", "customlabel" "" }, { "id" "exy7xhvpq ht16gzp2cna", "language" "412", "code" "// 412 precondition failed returns an error message if access to the target resource has been denied (for example if any of the parameter value is incorrect or license has expired)", "customlabel" "" } ], "selectedlanguageid" "exy7xhvpq ht16gzp2cna" }, "examples" { "languages" \[ { "id" " mgbjlmu9k01z6cekara5", "language" "python", "code" "import requests\n\nmodelid=\\"<< enter model id >>\\"\nurl = \\"https //api aws boschaishield com/prod/api/ais/v1 5/model analyse/\\"+modelid+\\"\\"\n\n# please select proper payload for your usecase for extraction, evasion or poisoning \npayload={\n # <\<enter payload data>>\n}\nheaders = {\n 'accept' 'application/json',\n 'x api key' '########################################',\n 'org id' '####################################################################################################'\n}\n\nresponse = requests request(\\"post\\", url, headers=headers, data=payload)\n\nprint(response text)", "customlabel" "" }, { "id" "eztviargk4cgsi2z3kaop", "language" "curl", "code" "modelid=\\"<< enter model id >>\\"\ncurl location 'https //api aws boschaishield com/prod/api/ais/v1 5/model analyse/${modelid}' \\\\\n header 'x api key ########################################' \\\\\n header 'org id ####################################################################################################' \\\\\n header 'content type application/json' \\\\\n data '{\n <\<enter payload data>>\n}'", "customlabel" "" }, { "id" "kc6rvtvqgbj0xpczd7nak", "language" "nodejs", "code" "var request = require('request');\n\nmodelid = '<\<enter model id >>'\nvar options = {\n 'method' 'post',\n 'url' 'https //api aws boschaishield com/prod/api/ais/v1 5/model analyse/'+modelid+'',\n 'headers' {\n 'x api key' '########################################',\n 'org id' '####################################################################################################',\n 'content type' 'application/json'\n },\n body json stringify({\n // <\<enter task pair based payload>>\n })\n\n};\nrequest(options, function (error, response) {\n if (error) throw new error(error);\n console log(response body);\n});\n", "customlabel" "" }, { "id" "nx00rqrlxpofftydcguk0", "language" "javascript", "code" "var myheaders = new headers();\nmyheaders append(\\"x api key\\", \\"########################################\\");\nmyheaders append(\\"org id\\", \\"####################################################################################################\\");\nmyheaders append(\\"content type\\", \\"application/json\\");\n\nvar raw = json stringify({\n // << enter payload details based on task pair >>\n});\n\nvar modelid = \\"<< enter model id >>\\"\n\nvar requestoptions = {\n method 'post',\n headers myheaders,\n body raw,\n redirect 'follow'\n};\n\nfetch(\\"https //api aws boschaishield com/prod/api/ais/v1 5/model analyse/\\"+modelid+\\"\\", requestoptions)\n then(response => response text())\n then(result => console log(result))\n catch(error => console log('error', error));", "customlabel" "" } ], "selectedlanguageid" "eztviargk4cgsi2z3kaop" }, "description" "", "currentnewparameter" { "label" "path parameter", "value" "pathparameters" } } note in the response, copy job id this value is required to trigger the get apis see docid\ s mz7r0hnzicdqy6q 6hq the "job id" is used to retrieve model analysis metadata and check the processing status of the request it is also used for generating reports for the analyzed model copy the dashboard link from the response and open it in a new tab this allows users to monitor the job progress and download reports for using nodejs sample code, install npm package request given ample code for python is tested for python version 3 7 given sample code for nodejs and javascript is tested for node v20lts