(Pro-)Seminar SS24: Topics in Adversarial Machine Learning

	A	B	C	D	E	F	G	H	I
1	Topic	Presenting Team				Challenging Team
2	Topic	Student 1 - Team Lead	Student 2	Student 3	Student 4	Student 1 - Team Lead	Student 2	Student 3	Student 4
3	Adversarial Examples & Robustness Evaluation	Saira Sohail Anwari	Nico Neufing	Piyush Pant		Madhurima Ghosh	Yuelin Xu	Roba ElQadi	Amit Saxena
4	Adversarial Training & Robust Generalization	Madhurima Ghosh	Subrat Kishore Dutta	Muhammad Haris Anwar	Amit Saxena	Nico Neufing	David Steinmann	Piyush Pant	Musharraf Raza
5	Robustness Certification Methods	Muhammad Haris Anwar	David Steinmann	Yuelin Xu	Ved Rahul Shinkre	Saira Sohail Anwari	Muhammed Saeed	Nico Neufing	Musharraf Raza
6	Intrinsic Limits on Adversarial Robustness	Yuelin Xu	Saira Sohail Anwari	Wooyeon Jeong	Amit Saxena	Timo Treitz	Muhammad Haris Anwar	Muhammed Saeed
7	Data Poisoning Attacks	David Steinmann	Roba ElQadi	Muhammed Saeed	Ved Rahul Shinkre	Madhurima Ghosh	Saira Sohail Anwari	Subrat Kishore Dutta	Amit Saxena
8	Backdoor Attacks	Subrat Kishore Dutta	Timo Treitz	Nico Neufing	Musharraf Raza	Roba ElQadi	Wooyeon Jeong	Piyush Pant	Ved Rahul Shinkre
9	ML Privacy	Muhammed Saeed	Roba ElQadi	Madhurima Ghosh		Wooyeon Jeong	Muhammad Haris Anwar	Timo Treitz
10	Adversarial ML in Generative AI	Piyush Pant	Wooyeon Jeong	Timo Treitz	Musharraf Raza	Subrat Kishore Dutta	Yuelin Xu	David Steinmann	Ved Rahul Shinkre
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