Due to possible devastating consequences, counteracting sensor data attacks is an extremely important topic, which has not seen sufficient study. This presentation presents the first methods that accurately identify/eliminate only the problematic attacked sensor data presented to a sequence estimation/regression algorithm under a powerful attack model. The approach does not assume a known form for the statistical model of the sensor data, allowing data-driven and machine learning sequence estimation/regression algorithms to be protected. A simple protection approach for attackers not endowed with knowledge of the details of our protection approach is first developed, followed by additional processing for attacks based on protection system knowledge. Experimental results show that the simple approach achieves performance indistinguishable from that for an approach which knows which sensors are attacked. For cases where the attacker has knowledge of the protection approach, experimental results indicate the additional processing can be configured so that the worst-case degradation under the additional processing and a large number of sensors attacked can be made significantly smaller than the worst-case degradation of the simple approach, and close to an approach which knows which sensors are attacked, with just a slight degradation under no attacks. Mathematical descriptions of the worst-case attacks are used to demonstrate the additional processing will provide similar advantages for cases for which we do not have numerical results. All the data-driven processing used in our approaches employs only unattacked training data. Agenda: Free parking is available in the Alamo Stadium Lot across Stadium Drive ((https://maps.app.goo.gl/jaiRVNFF7wf2k8K36)), or in any campus lots ((https://map.trinity.edu/?id=1858#!ce/71660?ct/71660?s/)). 6:30 pm – Gathering, registration, networking, etc. 7:00 pm – Dinner Note: catering headcount has passed, late registrants join us at 7:45 for the presentation. 7:45 pm – Presentation followed by Q&A 9:00 pm – Adjourn Room: Fiesta Room (Rm 111), Bldg: Coates Student Center, Trinity Pl, San Antonio, Texas, United States, 78212