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  • Modifications needed

    This is a follow-up to the previous question.

  • Business Question

    Please put 34 days IF YOU Want to be selected

  • Case Studies in Data Protection and Privacy

    Assignment Instructions Summary (Track B: Membership Inference)

    This assignment is based on the official assignment brief document and the materials covered in Weeks 14 lectures and tutorials. The main objective is to perform a security and privacy review of an AI service, focusing on identifying vulnerabilities, testing them practicly, and proposing suitable defences.

    The analysis must follow the structure provided in the assignment file, including:

    • System understanding (architecture and trust boundaries)
    • Identification of assets, attackers, and risks
    • Designing an attack workflow
    • Proposing defence strategies with justification
    • Supporting analysis with figures, tables, and experimental evidence

      I will choos Track B: Membership Inference.This track focuses on analysing whether an attacker can determine if a specific data record was used in training the model, based on the models outputs.The implementation will be based on the provided file:

      • membership_inference_track.py

        Report Requirements

        The final submission will be:

        • One PDF report only
        • No code files will be submitted

        The report must:

        • Be scenario-specific (AI hiring API)
        • Include:
          • Figures (system architecture, attack workflow, defence workflow)
          • Tables (assetattackerharm)
          • Screenshots from code execution as evidence
        • Demonstrate:
          • Understanding of the system
          • Identification of vulnerabilities
          • Clear attack methodology
          • Justified defence design with trade-offs

            Coding Task (Track B)

            The coding task is minimal and only requires completing two missing lines in the provided script, After completing these lines, the script must be executed to generate results for analysis

            Required Screenshots

            Only screenshots are required (NOT full code submission). The report must include:

            1. Code Screenshot

            • Show ONLY the modified lines (the two completed lines in run_mia())

            2. Output Screenshot

            • Show the program output after running the code, including:
              • Baseline case results
              • Defended case results
            • Important values to capture:
              • member_mean_signal
              • nonmember_mean_signal
              • mia_attack_accuracy
              • threshold

            These outputs will be used as evidence in your discussion.

            Expected Analysis (Track B)

            In the report, you will:

            • Compare baseline vs defended model
            • Explain how defence techniques (e.g. regularization, label smoothing, dropout) reduce membership inference risk
            • Use your code results as supporting evidence

              please reffer to the attached files and read the assignment instructions careflly

          • After you finished, provied a (Turnitin + AI) reports. Al

  • math talk

    Please follow the instructions down below!

  • Writing Questions

    Question-1:

    Rent control laws, like minimum wage laws, apply broadly to everyone, not just low-income individuals. Should there be provisions to limit rent control benefits only for those who truly need lower rent?

    Note: Your answer should be a minimum of 5-6 pages in total and include a minimum of 3-4 references. APA format, and no plagiarism or AI content is allowed.

    Question-2:

    Calculating the present value of external benefits and comparing it to the present value of additional costs is a purely economic way to evaluate Head Start. Is this the only approach? Is it the right one, or are there other ways to assess the program?

    Note: Your answer should be a minimum of 5-6 pages in total and include a minimum of 3-4 references. APA format, and no plagiarism or AI content is allowed.

    Note:

    • Content should be clear, concise, and understandable in APA format
    • No plagiarism or AI content is allowed.
    • Please follow the minimum number of pages and include a minimum number of references.
    • Check for any grammatical errors and sentence structure.

  • Psychology Question

    Inquiry and analysis is a systematic process of refining our understanding of issues, objects, and works through a cycle of questions and evaluation.

    Purpose: Students will use course information on research methods and psychological research studies to design an experimental study testing a research question that is meaningful to college students.

    Task: Students will write responses that address the following prompts:

    1. Define a specific research question that will address one of the following:

    • What will improve grades?
    • What will reduce stress?
    • What will improve sleep?
    • What will improve self-esteem?

    Example research question: Does warm milk before bedtime improve sleep?

    2. Develop a specific hypothesis for your proposed research question. Which group will have better or worse outcomes?

    Example hypothesis: People who drink a cup of warm milk before bedtime will sleep longer than people who drink water before bedtime.

    3. Find two sources to support your hypothesis (e.g., from class, lecture, textbook, or approved source). Discuss previous research findings that suggest why your chosen variable will affect the outcome.

    Supporting hypotheses with past research: Several empirical studies have demonstrated the impact of drinking milk before bedtime. In one study, adults over 60 who drank fermented milk experienced reduced nighttime wakings (Yamamura et al., 2009). In a different study, adults over 65 who drank milk before bedtime fell asleep more quickly than those who did not consume milk before bed (Kitano et al., 2014).

    4. Describe how you would conduct your study, which includes:

    • a description of who you will sample (the participants)
    • a description of your procedure, which includes a description of your experimental conditions (independent variable) and how you will measure the outcome (dependent variable).

    Sample: I will recruit college students who report difficulty getting a good night’s sleep. Participants will be recruited for a study on “drink consumption before bedtime.” Participants would need to meet the following criteria: (1) cannot be lactose intolerant, (2) are okay to consume cow’s milk, (3) have a microwave to warm the milk provided, and (4) are willing to wear a sleep activity watch.

    Procedure: I would randomly assign participants to one of two groups: (1) drink warm milk before bed or (2) drink water before bed.

    • Participants in the milk condition would be provided with six 8oz bottles of milk for the week. They will be instructed to microwave their milk for 45 seconds and consume it 60 minutes before going to bed. Before going to sleep, the participants will put on the sleep activity watch to monitor their sleep (wakings; length of sleep). The sleep activity watch will track and store their nightly sleep over the six days of the study.
    • Participants in the control condition would be provided with six 8oz bottles of water for the week. They will be instructed to consume the room temperature water 60 minutes before going to bed. Before going to sleep, the participants will put on the sleep activity watch to monitor their sleep (wakings; length of sleep). The sleep activity watch will track and store their nightly sleep over the six days of the study.

    Independent Variable: Milk consumption (I manipulated whether participants drank warm milk or water)

    Dependent Variable: Sleep length (I measured the participants’ length of sleep using the sleep activity watch which recorded sleep time in hours and minutes over six days).

    5. Describe your expected resultsthat is, how participants will react or behave in each condition.

    Expected results: Participants who drank warm milk will sleep about 45 minutes longer than those who did not consume milk before bed.

    6. Which groups or populations would be most interested to learn about your results and why?

    Recommended populations:

    • People who have a difficult time sleeping could benefit from knowing easy remedies to improve their sleep.
    • Doctors and pediatricians could recommend this simple solution to their patients who want improved sleep.
    • Researchers may want to test whether alternative forms of milk have the same benefits (e.g., soy milk; almond milk; oat milk).

    7. Include your references using APA 7.

    • Yamamura, S., Morishima, H., Kumano-go, T., Suganuma, N., Matsumoto, H., Adachi, H., Sigedo, Y., Mikami, A., Kai, T., Masuyama, A., Takano, T., Sugita, Y., & Takeda, M. (2009). The effect of Lactobacillus helveticus fermented milk on sleep and health perception in elderly subjects. European Journal of Clinical Nutrition, 63(1), 100105.
    • Kitano, N., Tsunoda, K., Tsuji, T., Osuka, Y., Jindo, T., Tanaka, K., & Okura, T. (2014). Association between difficulty initiating sleep in older adults and the combination of leisure-time physical activity and consumption of milk and milk products: A cross-sectional study. BMC Geriatrics, 14, 118.

    Submission Guidelines:

    • Enter your answers to each prompt in a text entry box.
    • Be sure to provide enough detail to fully answer each prompt.
    • Include your APA 7 citations at the end of your assignment.

  • 956 – PROJECT COMMUNICATIONS ( GROUP D )

    Task Assignment: Communications Coursework (Part A Group D & Part B)

    You are required to complete the Communications coursework in a professional and academically correct manner. The work must include both Part A (Group D) and Part B (MATLAB Implementation). Please follow all instructions carefully and ensure clarity, accuracy, and completeness in all sections.

    —

    # Part A: Theoretical Analysis (Group D)

    You must solve all problems under Group D (Problems D1D5). Each problem should be presented clearly with full mathematical steps, explanations, and where required, graphical representations.

    ## General Requirements:

    – Show all derivations and calculations step-by-step.

    – Clearly state any formulas used before applying them.

    – Provide brief explanations (not just final answers).

    – Include plots where required (MATLAB is preferred).

    – Add a short discussion after each question explaining the results.

    —

    ## Problem D1: DSB-SC Modulation and Analysis

    – Derive and plot the frequency spectrum of the given DSB-SC signal.

    – Calculate the signal power.

    – Plot the demodulated signal using an envelope detector.

    – Determine the in-phase and quadrature components ( v_c(t) ) and ( v_s(t) ).

    – Plot the signal envelope and explain its physical meaning.

    —

    ## Problem D2: FM and PM Analysis

    – For Frequency Modulation (FM), determine the maximum and minimum instantaneous frequencies.

    – For Phase Modulation (PM), compute the instantaneous frequency using the derivative of the message signal.

    – Clearly explain the difference between FM and PM behavior based on the results.

    —

    ## Problem D3: Sampling and Quantization

    – Apply the Nyquist theorem to determine the minimum sampling rate.

    – Compute the Signal-to-Noise Ratio (SNR) for the given quantizer.

    – Determine the number of bits required to reduce quantization error.

    – Calculate the maximum quantization error.

    – Evaluate the maximum achievable bit rate under bandwidth constraints.

    – Provide interpretation of results.

    —

    ## Problem D4: Nyquist Pulse and Bandwidth

    – Determine and plot the spectrum of the given pulse.

    – Verify whether the pulse satisfies Nyquist criteria.

    – Calculate suitable parameters for both baseband and passband systems.

    – Justify all design choices.

    —

    ## Problem D5: M-PSK System Performance

    – Compute required parameters to achieve the specified error probability.

    – Compare performance for different values of M (e.g., 8-PSK vs 16-PSK).

    – Discuss trade-offs between data rate and error performance.

    —

    # Part B: MATLAB Simulation (Communication System Design)

    You are required to design and simulate a complete digital communication system using MATLAB/Simulink.

    ## Objective:

    Design a communication system capable of transmitting data over a noisy and non-ideal channel, and evaluate its performance.

    —

    ## System Design Requirements:

    ### 1. Transmitter:

    – Generate binary data.

    – Apply suitable modulation (e.g., BPSK, QPSK, or QAM).

    – Include pulse shaping if necessary.

    —

    ### 2. Channel:

    – Simulate a realistic communication channel including:

    – Additive White Gaussian Noise (AWGN)

    – Possible delay or distortion

    – Optional multipath effects

    —

    ### 3. Receiver:

    – Perform demodulation.

    – Apply filtering and signal recovery.

    – Implement synchronization if needed.

    – Recover the transmitted data.

    —

    ## Simulation Tasks:

    – Build the system using MATLAB or Simulink.

    – Test different modulation schemes.

    – Analyze system performance under different noise levels.

    – Measure Bit Error Rate (BER).

    – Compare performance results.

    —

    ## Analysis and Discussion:

    – Explain how noise affects the system.

    – Discuss which modulation technique performs best.

    – Suggest improvements to enhance system reliability.

    —

    # Report Requirements

    The final report must include:

    1. Introduction

    2. Part A Solutions (Group D)

    – Detailed solutions

    – Plots and explanations

    3. Part B Simulation

    – System design

    – Block diagram

    – Results and analysis

    4. Discussion

    5. Conclusion

    6. References

    —

    # Individual Reflections (Mandatory)

    Each group consists of 5 members, and every member must provide an individual reflection at the end of the report.

    Each reflection should include:

    – A clear description of the tasks performed by the student.

    – The specific contribution to Part A and/or Part B.

    – Skills and knowledge gained during the project.

    – Challenges faced and how they were solved.

    – Personal evaluation of the teamwork and project outcome.

    Each reflection must be written separately and clearly labeled with the students name.

    —

    # Additional Notes

    – Ensure all work is original and properly referenced.

    – Use clear formatting and professional writing.

    – MATLAB files must be submitted along with the report.

    —

    Deliver the work in a complete, well-organized, and academically correct format suitable for submission.

  • Mathematics Question

    Kya problem hai

    Kis subject ka hai

    Kahan tak samajh aaya

    Agar screenshot hai to upload karo

    Example: Main class 10 ka student hoon. Mujhe linear equation ka question samajh nahi aa raha. Yeh step par atak raha hoon

  • Studypool Professional

  • Political Science Question

    no ai can be use,This is a graduate student assignment and requires a highly skilled writer.