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  • Date:01MondayJuly 2024

    Foundations of Computer Science Seminar

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    Time
    11:15 - 12:15
    Title
    Incompressibility and Next-Block Pseudoentropy
    Location
    Jacob Ziskind Building
    Room 155
    Lecturer
    Noam Mazor
    Cornell Tech
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about A distribution is k-incompressible, Yao [FOCS ’82], if no ef...»
    A distribution is k-incompressible, Yao [FOCS ’82], if no efficient compression scheme compresses it to less than k bits. While being a natural measure, its relation to other computational analogs of entropy such as pseudoentropy (Hastad, Impagliazzo, Levin, and Luby [SICOMP 99]), and to other cryptographic hardness assumptions, was unclear.

    We advance towards a better understating of this notion, showing that a k-incompressible distribution has (k-2) bits of next-block pseudoentropy, a refinement of pseudoentropy introduced by Haitner, Reingold, and Vadhan [SICOMP ’13]. We deduce that a samplable distribution X that is (H(X) 2)-incompressible, implies the existence of one-way functions.

    Joint work with Iftach Haitner and Jad Silbak.
    Lecture
  • Date:02TuesdayJuly 2024

    To be announced

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Cafeteria
    Lecturer
    Dr. Nityanand Bolshette & Vaishnavi Dandavate PhD
    Department of Biomolecular Sciences
    Organizer
    Department of Biomolecular Sciences
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    Lecture
  • Date:04ThursdayJuly 2024

    Vision and AI

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    Time
    12:15 - 13:15
    Title
    Recovering the Pre-Fine-Tuning Weights of Generative Models
    Location
    Jacob Ziskind Building
    Room 1
    Lecturer
    Eliahu Horwitz
    HUJI
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about The dominant paradigm in generative modeling consists of two...»
    The dominant paradigm in generative modeling consists of two steps: i) pre-training on a large-scale but unsafe dataset, ii) aligning the pre-trained model with human values via fine-tuning. This practice is considered safe, as no current method can recover the unsafe, pre-fine-tuning model weights. In this paper, we demonstrate that this assumption is often false. Concretely, we present Spectral DeTuning, a method that can recover the weights of the pre-fine-tuning model using a few low-rank (LoRA) fine-tuned models. In contrast to previous attacks that attempt to recover pre-fine-tuning capabilities, our method aims to recover the exact pre-fine-tuning weights. Our approach exploits this new vulnerability against large-scale models such as a personalized Stable Diffusion and an aligned Mistral.

    Bio:

    Eliahu Horwitz is a PhD candidate in Computer Science at the Hebrew University of Jerusalem, working under the supervision of Prof. Yedid Hoshen. His research area is computer vision, with a focus on representation learning and generative models. Currently, his work revolves around reversing the training trajectories of neural networks.

    A recipient of the KLA Scholarship for Outstanding Graduate Students and a CIDR (Center for Interdisciplinary Data Science Research) fellow, Eliahu’s academic achievements are complemented by his practical experience. Before transitioning to research, he honed his skills as a self-taught software developer, working with diverse technologies across the tech stack at both startups and large-scale companies. His latest research can be found on his website: pages.cs.huji.ac.il/eliahu-horwitz.
    Lecture
  • Date:08MondayJuly 2024

    Foundations of Computer Science Seminar

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    Time
    11:15 - 12:15
    Title
    Quantum Algorithms in a Superposition of Spacetimes
    Location
    Jacob Ziskind Building
    Room 155
    Lecturer
    Omri Shmueli
    Tel-Aviv University
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about Quantum computers are expected to revolutionize our ability ...»
    Quantum computers are expected to revolutionize our ability to process information. The advancement from classical to quantum computing is a product of our advancement from classical to quantum physics -- the more our understanding of the universe grows, so does our ability to use it for computation. A natural question that arises is, what will physics allow in the future? Can more advanced theories of physics increase our computational power, beyond quantum computing?
    An active field of research in physics studies theoretical phenomena outside the scope of explainable quantum mechanics, that form when attempting to combine Quantum Mechanics (QM) with General Relativity (GR) into a unified theory of Quantum Gravity (QG). QG is known to present the possibility of a quantum superposition of causal structure and event orderings. In the literature of quantum information theory, this translates to a superposition of unitary evolution orders.
    In this talk we will show a first example of a computational model based on models of QG, that provides an exponential speedup over standard quantum computation (under standard hardness assumptions). We define a model and complexity measure for a quantum computer that has the ability to generate a superposition of unitary evolution orders, and show that such computer is able to solve in polynomial time two well-studied problems in computer science: The Graph Isomorphism Problem and the Gap Closest Vector Problem, with gap O( n^{1.5} ). 

     

    The talk is based on https://arxiv.org/abs/2403.02937 .
    Lecture
  • Date:11ThursdayJuly 2024

    Spotlight on Science

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    Time
    13:00 - 14:00
    Title
    TBA
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Yael Eshed Eisenbach
    Dr.
    Organizer
    Science for All Unit
    Staff Scientists Seminar
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    Lecture
  • Date:11ThursdayJuly 2024

    Ubiquitin, cell identity and cancer

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Prof. Amir Orian MD/PhD
    Head of the Ruth and Stan Flinkman Genetic Networks Laboratory at the Bruce and Ruth Rappaport Cancer Center (RTICC) and the Technion Faculty of Medicine
    Organizer
    Dwek Institute for Cancer Therapy Research
    Cancer Research Club
    Contact
    DetailsShow full text description of For joining remotely please use Zoom: https://weizmann.zoom....»
    For joining remotely please use Zoom: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6KzRCU0xJaUFoM2Y5emZwZm1oZz09
    Meeting ID: 506 540 2023
    Password: 223081
    Lecture
  • Date:11ThursdayJuly 2024

    Seminar for MSc thesis defense

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    Time
    15:00
    Title
    “Uncovering a new targeting pathway for endoplasmic reticulum resident protein using whole-genome screens”
    Location
    Koshland room
    Lecturer
    Shani Ravid
    Organizer
    Department of Molecular Genetics
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    Lecture
  • Date:11ThursdayJuly 2024

    To be announced

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    Time
    15:00 - 16:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Auditorium
    Lecturer
    Prof. Leeya Engel
    Faculty of Mechanical Engineering - Technion
    Organizer
    Department of Biomolecular Sciences
    Contact
    DetailsShow full text description of Host: Ori Avinoam and Sharon Wolf...»
    Host: Ori Avinoam and Sharon Wolf
    Lecture
  • Date:15MondayJuly 2024

    Scientific Council meeting

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    Time
    14:00
    Location
    The David Lopatie Conference Centre
    Kimmel Auditorium
    Contact
    Academic Events
  • Date:17WednesdayJuly 2024

    New computational approaches for identifying and targeting yet unexplored cancer vulnerabilities

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Dr. Eytan Ruppin
    Chief, Data Science Laboratory, National Cancer Institute, NIH
    Organizer
    Dwek Institute for Cancer Therapy Research
    Contact
    DetailsShow full text description of Meeting URL: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6...»
    Meeting URL: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6KzRCU0xJaUFoM2Y5emZwZm1oZz09

    Lecture
  • Date:21SundayJuly 2024

    Special Guest Seminar

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    Time
    11:00 - 12:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Dr. Shira Landau
    Advancing Cardiac Health: Novel Vascularized Cardiac Organ-on-a-Chip Systems for Studying Function, Molecular Disease Mechanisms, and Treatment Strategies
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:05ThursdaySeptember 2024

    Scientific Council meeting

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    Time
    14:00
    Location
    The David Lopatie Conference Centre
    Kimmel Auditorium
    Contact
    Academic Events
  • Date:05ThursdaySeptember 2024

    Scientific Council Prizes Ceremony

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    Time
    16:30
    Location
    The David Lopatie Conference Centre
    Kimmel Auditorium
    Contact
    Academic Events
  • Date:18WednesdaySeptember 2024

    Spotlight on Science

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    Time
    12:30 - 14:00
    Title
    TBA
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    TBA
    Contact
    Lecture
  • Date:19ThursdaySeptember 2024

    Revisiting the Neoantigen Approach to Cancer Immunotherapy

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Prof. Yardena Samuels
    Knell Family Professorial Chair Director, the EKARD Institute for Cancer Diagnosis Research President Elect, European Association for Cancer Research Department of Molecular Cell Biology The Weizmann Institute of Science
    Organizer
    Dwek Institute for Cancer Therapy Research
    Cancer Research Club
    Contact
    DetailsShow full text description of For joining remotely please use Zoom: https://weizmann.zoom....»
    For joining remotely please use Zoom: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6KzRCU0xJaUFoM2Y5emZwZm1oZz09
    Meeting ID: 506 540 2023
    Password: 223081
    Lecture
  • Date:23MondaySeptember 2024

    Life Sciences Senior Scientist Day

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    Time
    09:00 - 17:00
    Location
    TBD
    Organizer
    Life Sciences
    Contact
    Lecture
  • Date:24TuesdaySeptember 2024

    Immunology and Regenerative Biology Colloquium

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    Time
    11:00 - 12:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Dr. Kari K. Alitalo
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:08TuesdayOctober 202410ThursdayOctober 2024

    Minerva Annual meeting 2024

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    Time
    All day
    Contact
    Academic Events
  • Date:03SundayNovember 2024

    Immunology and Regenerative Biology Colloquium

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    Time
    11:00 - 12:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Prof. Paul Kubes
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:06WednesdayNovember 2024

    LS Luncheon

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    Time
    12:00 - 14:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Auditorium
    Lecturer
    Prof. Eran Elinav
    Organizer
    Life Sciences
    Contact
    Lecture

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