Management Of Information Security
6th Edition
ISBN: 9781337405713
Author: WHITMAN, Michael.
Publisher: Cengage Learning,
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Chapter 1, Problem 1EDM
Program Plan Intro
Code of ethics:
- The “ethics” word comes from the Greek term “duty”.
- The code of ethics means all the responsibilities that professional must respect when carrying out their work.
- It also contains the core value of the work and the behavior which should be adopted.
Example:
Professional and confidentiality secrecy are responsibilities contained in the code of ethics and conduct in numerous professions like accountants, lawyers, doctors and journalists.
Intent of the code of ethics:
- The intent of the code of ethics established by a professional order as a way to safeguard public and the status of the professionals.
- The employee who breach their code of ethics suffer disciplinary actions that can range from a warning or rebuke to dismissal or ejection from their professional order.
Privacy policy:
- A privacy policy denotes a statement that discloses some or all ways an organization would gather, use, disclose and manage data of customers as well as clients.
- It fulfills a legal requirement for protecting privacy of customers as well as clients.
- Personal information denotes anything that could be used to identify an individual.
- It represents a generalized treatment that tends to be more specific and detailed.
- The exact content of certain privacy policy will depend upon applicable law and need to address requirements across all boundaries.
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Here are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN).
graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…
Please provide me with the output image of both of them . below are the diagrams code
I have two diagram :
first diagram code
graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…
Chapter 1 Solutions
Management Of Information Security
Ch. 1 - Prob. 1RQCh. 1 - Prob. 2RQCh. 1 - Prob. 3RQCh. 1 - Prob. 4RQCh. 1 - Prob. 5RQCh. 1 - Prob. 6RQCh. 1 - Prob. 7RQCh. 1 - Prob. 8RQCh. 1 - Prob. 9RQCh. 1 - Prob. 10RQ
Ch. 1 - Prob. 11RQCh. 1 - Prob. 12RQCh. 1 - Prob. 13RQCh. 1 - Prob. 14RQCh. 1 - Prob. 15RQCh. 1 - Prob. 16RQCh. 1 - Prob. 17RQCh. 1 - Prob. 18RQCh. 1 - Prob. 19RQCh. 1 - Prob. 20RQCh. 1 - Assume that a security model is needed to protect...Ch. 1 - Prob. 2ECh. 1 - Prob. 3ECh. 1 - Prob. 4ECh. 1 - Prob. 6ECh. 1 - Prob. 1DQCh. 1 - Prob. 2DQCh. 1 - Prob. 1EDM
Knowledge Booster
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