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projects [2019/09/03 15:37] 590ta |
projects [2019/09/10 22:05] (current) 590ta |
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| *Using LLVM to construct call graph.[[http://www.cs.purdue.edu/homes/xyzhang/fall19/cs590-llvm-S17.pdf|Description]] [[http://www.cs.purdue.edu/homes/xyzhang/spring17/testCases.zip|Test Cases]] | *Using LLVM to construct call graph.[[http://www.cs.purdue.edu/homes/xyzhang/fall19/cs590-llvm-S17.pdf|Description]] [[http://www.cs.purdue.edu/homes/xyzhang/spring17/testCases.zip|Test Cases]] | ||
| * Testing with Klee.[[https://drive.google.com/open?id=0B4J8-A03asYhbzJEdXU4Szg1LVE|Description]] | * Testing with Klee.[[https://drive.google.com/open?id=0B4J8-A03asYhbzJEdXU4Szg1LVE|Description]] | ||
| - | * Adversarial sample generation for AI models | + | * Adversarial sample generation for AI models [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590_proj4.pdf|Description]] [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590proj4.zip|Code & Model]] |
| - | * Data poisoning to inject AI model backdoors [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590_proj5.pdf|Description]] [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590proj5.zip|Model]] | + | * Data poisoning to inject AI model backdoors [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590_proj5.pdf|Description]] [[https://www.cs.purdue.edu/homes/taog/courses/cs590_19fall/cs590proj5.zip|Code & Model]] |
| == Term Project == | == Term Project == | ||
