ECE-663

ML IN ADVERSARIAL SETTINGS

Not in Fall 2026

ELEC&CMP · Taught by Gong, Zhenqiang (Neil) · Last offered Fall 2024

Overview

Feedback is mostly positive. The strongest signal is that students generally rate the course well. Best for students who are genuinely interested in the topic and willing to engage with the course on its own terms. The sample is still thin, so treat this as directional rather than definitive.

DepartmentELEC&CMP

Terms offeredFall

Typical enrollment43–43

Semesters of data1

5.2

Hrs / week

Responses

Enrollment

44%

Response Rate

Evaluation Scores

Overall quality

Teaching, content, and experience combined.

4.4

12345

Intellectually stimulating

Challenges students to think deeply.

4.4

12345

Instructor effectiveness

Explains concepts and facilitates learning.

4.6

12345

Difficulty

Higher means harder.

2.8

12345

Feedback Analysis

Feedback Analysislow

Analysis based on student evaluations

Based on 32 comments across 1 sections

Student Reports

How hard is the A?

A is doable but not automatic

The signal here is more do-the-work-and-you-should-be-fine than easy-A chatter. Students do not describe the A as automatic, but the evidence also does not paint grading as punishing.

Homework Load

Moderate homework load

Homework load looks moderate. The recurring signal is steady weekly work, but not a course that turns every assignment into a grind.

Lecture Load

Regular lecture load

Lectures matter here, but the evidence points to a fairly standard lecture burden rather than a course dominated by long or exceptionally dense lectures.

Strengths

• Instructor ratings are strong even when the comments do not cluster around one obvious positive theme.

Tradeoffs

• There is no single dominant complaint theme, but the feedback is not uniformly glowing either.

Best fit for

Best for students who are genuinely interested in the topic and willing to engage with the course on its own terms.

Watch out for

• Most of the signal comes from a limited sample, so be careful about over-generalizing.

• A large share of the evidence comes from one instructor's version of the course, so this may not generalize cleanly.

Student Responses

I have learnt the main knowledge and topic in adversarial machine learning domain. 1. I have developed the skills of reading paper and learn by myself. 2. I have learnt the main topic in the intersection of machine learning and security in the past few years. 3. I have learnt the skills to work in group and cooperate with others.