retrieve:
Return the details about the given Memento id.

list:
List all Memento objects.

GET /api/v1/mementos/27/events/?format=api&offset=30&ordering=-en_label
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "title": "Summer School in Image Analysis",
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            "end_date": "2026-06-12",
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            "end_time": null,
            "description": "<p>A hands-on introduction to the key concepts in image analysis for your everyday research! <br>\r\n<br>\r\nOpen to PhD students from all doctoral programs at EPFL, Swiss academic institutions and ETH domain.<br>\r\n<br>\r\n<strong>June 8 to 12 2026 </strong><br>\r\n<strong>Palace de Caux, Montreux</strong><br>\r\nPre-summer school Workshop will take place on June 4, 2026 (afternoon)<br>\r\n<br>\r\n<strong><a href=\"https://imaging.epfl.ch/summer-school\">More info</a></strong><br>\r\n<strong><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSdtHQLlAolAnXJHI5BKbgJXUJA5F6seAPbIOT7W1zKvkZ90wQ/viewform?usp=header\">Application</a></strong> Deadline: March 1, 2026<br>\r\n<br>\r\nAre you a PhD student at EPFL, at another swiss academic institution or within the ETH domaine who regularly faces questions regarding the analysis of your images ? Do you want to learn more about practical concepts and tools to help you in this endeavor? Then our summer school in image analysis is for you! Throughout the week, a series of lectures will provide you with the essential concepts in image analysis – from the nature of digital images through the physics of image acquisition to the basics of deep learning, and more. In addition to these lectures, you will learn to use some popular image-analysis software during practical sessions.</p>",
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            "title": "Workshop series “Responsible AI skills for education”",
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            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Effective quiz design:</strong><br>\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.<br>\r\n </p>",
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            "creation_date": "2026-05-22T09:33:15",
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            "id": 71917,
            "title": "Securing Next Generation Cellular Networks",
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            "start_time": "10:30:00",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nate Foster<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nCo-thesis advisor: Prof. Haitham Al Hassanieh<br>\r\nCo-examiner: Prof. Thomas Bourgeat<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nThis thesis studies cellular security from a state-aware, system-level perspective spanning user equipment, access networks, core networks, and higher-layer voice and messaging services. These systems form a distributed, heterogeneous infrastructure whose security depends on complex and largely opaque implementations across the stack. Cellular infrastructure underpins everyday communication, emergency response, transport, and industrial systems, yet existing research often focuses on isolated components or stateless message handling, leaving state-dependent vulnerabilities and cross-component interactions insufficiently explored. <br>\r\n<br>\r\nThis thesis aims to develop methods to infer and explore protocol state in closed and partially observable implementations, combining active automata learning, dynamic analysis, and targeted testing. It begins with baseband firmware and core-network components, then extends across key trust boundaries such as the Radio Interface Layer, non-cellular interworking, and voice and messaging infrastructure. The goal is to identify vulnerabilities arising from logical flaws, memory-safety issues, and inconsistencies in how state and trust are handled across components.<br>\r\n<br>\r\nBuilding on these insights, the thesis derives lightweight hardening for deployed systems, including boundary mediation and flow-based policy validation. By improving how cellular systems are tested and defended, the project strengthens critical infrastructure and Swiss expertise in 5G security.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n[1]: <a href=\"https://www.ndss-symposium.org/ndss-paper/auto-draft-200/\">https://www.ndss-symposium.org/ndss-paper/auto-draft-200/</a><br>\r\n[2]:<a href=\"https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/\">https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/</a><br>\r\n[3]:<a href=\"https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu\">https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu</a><br>\r\n ",
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            "creation_date": "2026-05-21T13:32:02",
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            "speaker": "Eduard Vlad",
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            "id": 70903,
            "title": "lunch&LEARN:  Learning with AI: Designing AI Tutors that foster learning in robotics and CS courses",
            "slug": "lunchlearn-learning-with-ai-designing-ai-tutors-th",
            "event_url": "https://memento.epfl.ch/event/lunchlearn-learning-with-ai-designing-ai-tutors-th",
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            "start_time": "12:15:00",
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            "description": "<strong>// NEW DATE // This event has been rescheduled from 17 March to 9 June 2026!</strong><br>\r\n<br>\r\nHow can AI tutors be designed to support learning rather than shortcutting it?<br>\r\n<br>\r\nIn this presentation, Jérôme Brender (EPFL) will examine how undergraduate students learn with AI tutors in robotics and computer science courses.<br>\r\n<br>\r\nAcross multiple design iterations, he investigated how features such as course-grounded retrieval (RAG), Socratic questioning, and real-time prompt feedback, and debate chatbot, shape students’ engagement, prompting behavior, and learning outcomes.<br>\r\n<br>\r\nHis work focuses on how AI tutors can help students better understand course concepts and become more reflective and effective users of AI tools. The findings provide insights into designing AI tutors that foster critical thinking and support sustainable learning practices.",
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            "id": 71884,
            "title": "Inverse Rendering: From Surfaces to Continuous Formulations",
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            "start_date": "2026-06-10",
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            "description": "<p>Thesis Director: Prof. W. A. Jakob,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11469<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
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            "creation_date": "2026-05-13T15:01:14",
            "last_modification_date": "2026-05-13T15:01:30",
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            "id": 71754,
            "title": "Towards Understanding Large Language Models",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Nicolas Flammarion<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-04-29T09:57:35",
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            "id": 71622,
            "title": "Information Theoretic Methods for Security and Privacy, with Applications to Decentralized Learning",
            "slug": "information-theoretic-methods-for-security-and-p-2",
            "event_url": "https://memento.epfl.ch/event/information-theoretic-methods-for-security-and-p-2",
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            "start_date": "2026-06-15",
            "end_date": "2026-06-15",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Yanina Shkel<br>\r\nThesis co-advisor: Prof Rachid Guerraoui<br>\r\nCo-examiner: Prof. Patrick Thiran<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>Rényi Differential Privacy, <a href=\"https://ieeexplore.ieee.org/document/8049725\">ieeexplore.ieee.org/document/8049725 </a></li>\r\n\t<li>Comparing privacy notions for protection against reconstruction attacks in machine learning,<strong> </strong><a href=\"https://arxiv.org/abs/2502.04045\">https://arxiv.org/abs/2502.04045</a></li>\r\n\t<li>Information spreading in stationary Markovian evolving graphs, <a href=\"https://ieeexplore.ieee.org/abstract/document/5160986\">https://ieeexplore.ieee.org/abstract/document/5160986</a></li>\r\n</ul>",
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            "title": "Control Policy and Shape Co-Design",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Mark Pauly<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Colin Jones<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li><em>Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory </em><a href=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\" title=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\">[link]</a></li>\r\n\t<li><em>Co-Design Optimisation of Morphing Topology and Control of Winged Drones </em><a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\" title=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\">[link]</a></li>\r\n\t<li><em>Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification </em><a href=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRiqyBQgHEAUaDDA1OTAwMzU0Njg2NSIM%2F2qu0CW5XnqjqmccKo8Fayr5Tlv%2BM%2FslOsihSWoNqXNS8Pgnao%2FdAGPJo2VJcHgcd9rpFY8Bc3Sp%2FEMv3tklkQCEoAQN%2FKyZ4wzymNg%2Fh11UG9YphufDs3wh19sV5ZjoMolctx4w9%2BQunLXlmS2cd2G83Le2hXhCMgWwI1Vxo9j5TfP9ChdPn5OvaCfNFDG1jhuhFWpD7lOs%2F1oaVoSVof4iPSEFs8nh7mUSFeNZizYkGDGdg4qjQB49x8TPzCPhiguiYxjXYyUjDZReKclPXS8mHy4PrHBk5y1%2F371DbHLKPLa3NhYSpkhIH7EEyWhiTWwXY8S5vRWX%2F619m7LyFisF61Ojks6SxmFdZQCKJ4OX0vR45zRbJIcodzFWDSZR65HdAXWbOuXj9IpQED5EpC0Uw4ehRobahFmdwwPskJ8qPTJg8Uj2sQI2onqy5%2F9o86fk87qgZrHrfKezmNoG5dzpz7bd%2FIq26xJ94RDpsgntiimjhQABdSVugnPAckZ7r9QvFiUJ3wrLV3JmhIbFzMJaG%2F0kf%2FmNf%2Btx3DB01VFYRk3E32j7qkmuDeYKaIYyDRmsrMwUhoow3KbntpsK7x9Lr9CYijUIUMYftG7HFuzoWOUyB2rIxuQQtkEF9POY%2Btl5VQcA3nIJ2OIsCuaGyUYhRczKz66e9TUU1LVQGk4MuXeu5QQiMghj%2FuWRZr9Jtkz44eJsrdVhdyeggsOy7vj3ipLR3t5b%2F0YJ1HUPzaYjrsAtQIPdeS%2FvjAJt2XsfZXOHM5cf2pvWw9sKM62dqnZkePmVm9IdpnH5kJc%2BbSsYtTlX0NvTtYduGzjn622WgKEMqg6QoKGHVH1opHOgRCXmjeW0s9bZ%2BA8X87GZRpY6uGX%2BvTKdabrIo3wi5zDx5MvPBjqyAXiQqZ%2FuLieJ5LH3JrfhIjOcsc2QDriCkds7r2G25UPv96CCMpPmgWYyWf6yp1YXBRMqWZjCrmb1IyiF1bTHe%2FojoM3%2Ft3ECJ4Jp9TBAscMvymXYDsuNw%2BHBbZEy8%2FkKdBl%2FzTk4Vo9s%2Bsv62VoZDmBtIOnhXzwTNdAe46xv1ay1A%2Ffq61jSf45%2BAS2ifn%2FCXIw%2Bt8nP%2FuiP4d6xN3zFLlWu%2B%2BPF7hQsXS5bGSbgpiZ5SV0%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260430T071347Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&amp;hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1367578826000015&amp;tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&amp;sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=19075a0152510400085f&amp;rr=9f44bef12e9d3b5e&amp;cc=ch\" title=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRi\">[link]</a></li>\r\n</ul>",
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            "id": 71945,
            "title": "OpenPulse Community Rollout Workshop: Making Research Software Visible and Valued",
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            "id": 71650,
            "title": "Approximation Complexity of QMA-hard Optimization Problems",
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