5 Must-Have Features in a Zhuzhijiang Certificate

It can be hard to stay up-to-date on the published papers in the field of adversarial examples, where we have seen massive growth in the number of papers written each year. I have been somewhat religiously keeping track of these papers for the last few years, and realized it may be helpful for others to release this list.

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The only requirement I used for selecting papers for this list is that it is primarily a paper about adversarial examples, or extensively uses adversarial examples. Due to the sheer quantity of papers, I can't guarantee that I actually have found all of them.

But I did try.

I also may have included papers that don't match these criteria (and are about something different instead), or made inconsistent judgement calls as to whether or not any given paper is mainly an adversarial example paper. Send me an if something is wrong and I'll correct it.

As a result, this list is completely un-filtered. Everything that mainly presents itself as an adversarial example paper is listed here; I pass no judgement of quality. For a curated list of papers that I think are excellent and worth reading, see the Adversarial Machine Learning Reading List.

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One final note about the data. This list automatically updates with new papers, even before I get a chance to manually filter through them. I do this filtering roughly twice a week, and it's then that I'll remove the ones that aren't related to adversarial examples. As a result, there may be some false positives on the most recent few entries. The new un-verified entries will have a probability indicated that my simplistic (but reasonably well calibrated) bag-of-words classifier believes the given paper is actually about adversarial examples.

The full paper list appears below. I've also released a TXT file (and a TXT file with abstracts) and a JSON file with the same data. If you do anything interesting with this data I'd be happy to hear from you what it was.

Paper List

The chapters presented in this volume have demonstrated first, Chinese and PLA leaders have a strong sense of mission and concern for China’s security and well-being. Second, the PLA is committed to the transformation in military affairs with Chinese... More

The chapters presented in this volume have demonstrated first, Chinese and PLA leaders have a strong sense of mission and concern for China’s security and well-being. Second, the PLA is committed to the transformation in military affairs with Chinese characteristics. Third, the PLA is eager to learn from the U.S. military to expand and improve its operational capabilities. Finally, the PLA has made progress in its transformation and operational capabilities. For a long time, American leaders have been surprised with the PLA’s advances. This volume (and many of the previous volumes from past PLA conferences) show that these advances did not come out of the blue. Although much of the learning and many of the improvements are still far from what is desired (from Chinese expectations and American critiques), and some of the learning has even created contradictions for the PLA, these persistent and diligent learning practices will eventually bring the PLA to a higher level of proficiency in Less

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